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    Striim Subscription

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    Sold by: Striim Inc 
    Striim is the only provider that ensures data freshness through continuous, real-time integration and streaming data pipelines. Our Smart Data Pipelines can stream up to hundreds of millions events per day between 100+ supported sources and targets. - For Enterprises that need the most flexible, scalable, and heterogeneous source and target solution with unlimited customization, Striim Platform affords them the freedom to stream data in real-time. - For organizations that value data freshness at scale without the need for a self-managed solution, Striim Cloud Enterprise, a fully managed solution, offers the same flexibility and scale as our core Platform offering.
    4.3

    Overview

    Striim provides data freshness through continuous, real-time integration and streaming data pipelines. Its Smart Data Pipelines can stream up to hundreds of millions events per day between 100+ supported sources and targets.

    • For Enterprises that need the most flexible, scalable, and heterogeneous source and target solution with unlimited customization, Striim Platform affords them the freedom to stream data in real-time.
    • For organizations that value data freshness at scale without the need for a self-managed solution, Striim Cloud Enterprise, a fully managed solution, offers the same flexibility and scale as our core Platform offering.

    An annual subscription license for Striim with gold support included. This subscription allows you to purchase Striim through the AWS Cloud marketplace and use Striim with your deployment model of choice.

    Key features: Real-time data streaming and data transformation & enrichment Low TCO & Comprehensive Infinite scale with a click of the button Highly available & continuous Mission critical

    Highlights

    • Get true real-time data streaming - Keep data flowing from legacy solutions and proactively run your business with pipelines that reach new levels of speed and performance. Striim replicates changes up to the moment using change data capture (CDC) and real-time ETL, using smart, in-memory processing to run analysis, trigger alerts, and kickstart workflows on data in transit.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Striim Subscription

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (3)

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    Dimension
    Description
    Cost/month
    8 cores
    8 core subscription
    $19,200.00
    16 cores
    16 core subscription
    $38,400.00
    32 cores
    32 core subscription
    $76,800.00

    AI Insights

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    Dimensions summary

    You buy this subscription based on core count, the number of processing cores licensed for your data pipelines. Three sizes are available: 8 cores, 16 cores, and 32 cores. Each option is a fixed contract commitment for the stated number of cores. Pricing scales with the size you select, so you choose the core count that matches your workload. To move to a larger core count, you select a different dimension. These are independent size choices, not add-ons stacked on a base plan.

    Top-of-mind questions for buyers

    A core is a processing core licensed for your data pipelines. The platform runs continuous streaming queries and change data capture across these cores. Your subscription covers the stated number of cores, so an 8-core option licenses 8 cores of processing capacity for your workload.
    Core count is fixed for your contract. To process more, you select a different dimension with more cores, such as moving from 16 cores to 32 cores. This is a manual change, not an automatic upgrade. Each option is an independent size, not an add-on to a base.
    This subscription bills on core count, not on data volume or event count. You commit to a fixed number of processing cores for the contract term. Your bill stays the same regardless of how many events flow through the pipelines during that period.
    www.striim.com
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    For refunds contact support@striim.com 

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

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    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Resources

    Vendor resources

    Support

    Vendor support

    Support plans are valid for Striim BYOL running on AWS Cloud VM servers up to 16 vCPUs

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly
    By Striim Inc
    By Estuary
    By DeltaStream: Powered by Apache Flink

    Accolades

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    Top
    100
    In Streaming solutions
    Top
    25
    In ELT/ETL, Streaming solutions
    Top
    25
    In ELT/ETL

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    2 reviews
    Insufficient data
    Insufficient data
    Insufficient data
    Insufficient data
    0 reviews
    Insufficient data
    Insufficient data
    Insufficient data
    Insufficient data
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Real-time Data Streaming
    Continuous data replication and streaming between 100+ supported sources and targets with capability to process hundreds of millions of events per day
    Change Data Capture
    Change data capture (CDC) technology that replicates data changes up to the moment for real-time synchronization
    Data Transformation and Enrichment
    In-memory processing engine for real-time data transformation, enrichment, analysis, and triggering of alerts and workflows on data in transit
    Scalability
    Horizontal scaling capability to handle infinite scale with support for heterogeneous source and target solutions
    High Availability
    Highly available and continuous data pipeline architecture designed for mission-critical deployments
    Real-time Data Capture
    Scalable, managed capture from Kinesis, databases using CDC, and SaaS applications
    Streaming SQL Processing
    Streaming SQL engine for data transformation with materialized views
    Multi-destination Materialization
    Support for materializing data to warehouses (Redshift, Snowflake), vector databases, search systems, NoSQL stores, and streaming systems
    Change Data Capture
    Scalable CDC technology for capturing data changes from databases
    Cost-optimized Pipeline Management
    Managed data pipeline infrastructure designed for cost-effective real-time operations
    Stream Processing Engine
    Apache Flink-powered platform for real-time analytics and materialized views using SQL
    Data Connectivity
    Support for multiple streaming data sources including Amazon Kinesis and Apache Kafka with unified streaming catalog organization
    Access Control
    Role-based access control (RBAC) for authorization of streaming data access without manual ACL management
    Streaming ETL Capabilities
    Transform, enrich, and aggregate event streams through streaming data pipelines and materialized views
    Deployment Options
    Serverless architecture with flexibility to deploy in customer VPC or use cloud service without cluster provisioning

    Contract

     Info
    Standard contract
    No

    Customer reviews

    Ratings and reviews

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    4.3
    3 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    33%
    67%
    0%
    0%
    0%
    2 AWS reviews
    |
    1 external reviews
    External reviews are from G2 .
    Ramakanth Vanga

    Real-time data capture has accelerated releases and now improves trust in our data warehouse

    Reviewed on Aug 03, 2026
    Review from a verified AWS customer

    What is our primary use case?

    We were using batch data from an Oracle database, which was causing the Oracle database to slow down. We enabled change data capture and used Striim to read data from Oracle databases and ingest into Snowflake, which was our data warehouse.

    We were using an ETL model using QlikView, which was taking several days for any software update. With Striim, that has come down to a few minutes. Whenever we do any releases, it would only take a few minutes for Striim to ingest into Snowflake. I would say we went from several days to maybe one to two hours for any release.

    What is most valuable?

    There were significant improvements because once we enabled change data capture, the database was not going down at all. The batch queries were taking so long earlier, and with change data capture, that load from the database has reducing significantly and the data was also reaching Snowflake in near real-time, approximately less than two minutes.

    We were confidently in a situation to call Snowflake as a single source of truth and Striim had a critical role, without it the SLA would be much higher, and there would not have been much confidence in Snowflake.

    The fact that you could start given what's called an Oracle SCN number, which is a starting position on where to read data from, is one good advantage of Striim. I saw Striim evolving from at least-once policy to exactly-once policy, which had a significant reduction in Snowflake costs. The ability to see checkpoints and restart Striim whenever we needed was also a good advantage.

    Exactly-once policy is making sure that there is no additional compute cost on Snowflake. A checkpoint is helpful for me to figure out where Striim is in comparison to Oracle database commits, whether Striim is up-to-date or lagging behind. Checkpoints were also helpful to figure out which table is causing the delay. The checkpoint is at the app level and also at the table level, so I know if any one table is causing the problem, I can go to checkpoints and figure that out.

    What needs improvement?

    The checkpoints would help me to figure out where the problem was if there's any lag, but I had to do a lot of manual work to figure out where the lag is. Striim would not intuitively tell me the culprit table or database behind the lag. I believe that is an improvement Striim could definitely do.

    Passwords were an issue. Property variables were not supported for passwords, meaning I had to make sure the password is manually populated. I believe if Striim could read from AWS secrets or its own secret mechanism to store the password, that would really save a lot of time so that I don't have to keep updating the password whenever there is any change.

    The user experience of triggering alerts if there's any lag which Striim identified, which is outside normal processing time, could intrinsically be done by Striim. I believe that was lacking.

    I would wait for Striim to tell me, instead of me going and validating whether Striim is lagging behind. If Striim could itself tell me that it's seeing a lot more volume than expected, that would really make me give it a higher number.

    For how long have I used the solution?

    I used Striim from 2019 to 2022.

    What do I think about the stability of the solution?

    Striim was very stable. It would definitely slow down, but it wouldn't shut down.

    What do I think about the scalability of the solution?

    Striim is deployed in a hybrid cloud, so that kind of helped us. Our licensing was based on the number of cores, so even if we have a high number of events on any given day, our license cost would not go high.

    How are customer service and support?

    I did interact with support, and it was very positive. I had good experiences. They are all knowledgeable about what they do.

    Which solution did I use previously and why did I switch?

    We evaluated Fivetran, Matillion, and Striim. We did not use Fivetran directly, but we did evaluate it because it was very expensive compared to Striim.

    What was our ROI?

    It's a combination of all of them. When it was taking 24 to 48 hours, we had a resource working and monitoring all throughout. Since it is now one to two hours, I would say it has saved employee hours and time.

    What's my experience with pricing, setup cost, and licensing?

    It's very fair. We had a private cloud, and it's not based on the number of events. It was based on the number of cores and CPU cores.

    What other advice do I have?

    I would definitely consider Striim before picking popular vendors like Fivetran. Also, make sure your licensing is in terms of memory or cores. Do not go with a licensing model based on the number of events. I would rate this review an 8 out of 10.

    Which deployment model are you using for this solution?

    Hybrid Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
    reviewer2858520

    Reliable change data capture has kept critical databases synchronized in real time

    Reviewed on Jun 19, 2026
    Review from a verified AWS customer

    What is our primary use case?

    I use Striim to perform change data capture from relational databases to non-relational databases in my organization. I implement CDC with Striim by transferring data from Oracle Database to MongoDB in my environment.

    I have a series of monitored tables where every time a change occurs in the source database, the data is transferred to the target database. The synchronization process is straightforward and efficient for my daily data flows.

    What is most valuable?

    I consider the best features that Striim offers to be great performance and a large number of sources and targets that can be connected.

    Striim is capable of absorbing a large number of transactions, and the difference between the two databases is always less than a second, which demonstrates efficiency and highlights the variety of sources and targets I have used.

    Striim has had a positive impact on my organization as it has solved stability issues that I had with other tools.

    What needs improvement?

    I think Striim could be improved with better pricing and enhanced documentation.

    For how long have I used the solution?

    I have been using Striim for approximately three years.

    What do I think about the stability of the solution?

    I faced stability problems where the synchronization between the source and target databases would break. That problem has been completely resolved with Striim.

    What do I think about the scalability of the solution?

    I would describe the scalability of Striim as very good, as it adapts well.

    Which solution did I use previously and why did I switch?

    Before using Striim, I employed Debezium for data replication. I decided to switch from Debezium to Striim because Debezium was not completely stable.

    What was our ROI?

    I have seen a clear return on investment with Striim, particularly in the reduction of incidents. The incidents have disappeared completely since I have been using Striim.

    What's my experience with pricing, setup cost, and licensing?

    My experience with the pricing, implementation cost, and licensing of Striim is that it is somewhat expensive.

    What other advice do I have?

    I consider Striim to be a stable platform. My advice to other companies considering using Striim is that they should take it into account because of its great versatility. I have given this review a rating of eight.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
    Environmental Services

    Striim to move data to cloud

    Reviewed on Jul 12, 2019
    Review provided by G2
    What do you like best about the product?
    It's easy to build apps and start moving data to cloud.
    What do you dislike about the product?
    Docs could have been better. UI is not intuitive soimetimes.
    What problems is the product solving and how is that benefiting you?
    How to move data to cloud continously
    View all reviews