Sold by: vt.enterprise
Deployed on AWS
Free Trial
AWS Free Tier
Save 90% of time on building web APIs for web/mobile apps or for data integration and reporting. Data sleeps in databases. Bring it to life with SlashDB.
Overview
SlashDB automatically constructs a REST API to databases for reading and writing, so their content becomes accessible to authorized users and applications in JSON, CSV, XML and HTML. Use it to save up to 90% of time on backend development for web/mobile applications. Modernize legacy systems for cloud with microservices architecture. Shorten time to market and customer onboarding for your commercial data products. Increase productivity of business analysts, data scientists, quantitative researchers, application developers, database administrators, web developers and other user groups. Webmasters can instantly add API to traditional LAMP stack based websites. Mobile and web application developers leverage SlashDB as gateway to legacy systems. Data scientists and analysts work with unobstructed data sets, using data discovery and SQL Pass-thru features. Big Data architects synchronize relational data into NoSQL databases such as MongoDB or MapReduce data analysis engines such as Apache Hadoop.
Highlights
- Instantly delivers data from databases to web and mobile applications. Works great with Amazon RDS.
- Drastically shortens time to market for on-demand data products and web APIs.
- Empowers end-users (data scientists, analysts) to easily access databases.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2023
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 30 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m5.large Recommended | $0.50 |
t3.micro | $0.10 |
m5n.xlarge | $0.50 |
m4.xlarge | $0.50 |
m5.xlarge | $0.50 |
m5.2xlarge | $0.50 |
m5n.4xlarge | $0.70 |
m4.2xlarge | $0.50 |
m5n.2xlarge | $0.50 |
t3.large | $0.50 |
Dimensions summary
You pay by the hour for SlashDB running on your choice of EC2 instance type. The 18 dimensions are not feature tiers. Each one maps to a specific AWS instance size, so your hourly rate depends on the compute capacity you select. The t3 instances (micro through 2xlarge) offer burstable general-purpose compute. The m4, m5, and m5n instances (large through 4xlarge) offer steady general-purpose compute at increasing sizes. All dimensions deliver the same software. You scale by picking a instance and running it for the hours you need.
Top-of-mind questions for buyers
The t3 instances (micro through 2xlarge) provide burstable general-purpose compute, meaning performance can spike above a baseline for short periods. The m4, m5, and m5n instances (large through 4xlarge) provide steady, sustained general-purpose compute. All run the same SlashDB software; only the underlying capacity differs.
Hourly software charges apply only while the instance runs. Stopping or powering off the instance halts the hourly software meter. Underlying AWS storage or reserved resources may still incur separate AWS fees, but the SlashDB license meters running hours only.
Yes. SlashDB gives a central access point for multiple relational databases, forming a single interface across them while keeping user access control. Adding more databases does not change your pricing dimension. Your hourly cost depends only on the instance type you select and run.
docs.slashdb.com
Helpful?
Vendor refund policy
Hourly and monthly subscriptions are not eligible for refunds.
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) .
Content disclaimer
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.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
This release delivers major improvements to performance, data exploration, and usability, along with important stability fixes.
Key highlights:
-
Performance improvements
- Significantly faster database model reflection and cache loading
-
Enhanced Data Discovery experience
- New advanced filtering panel with traversal and modifiers
- Expanded table header options (filter, sort, hide columns) across Data Discovery and SQL Pass-Thru
- Pagination support with page numbers and record count visibility
-
SQL Pass-Thru enhancements
- New Server Cursor option to optimize query execution
- Improved handling of large database schemas
-
User experience improvements
- Added tooltips for action buttons
- Various UI refinements and interaction improvements
-
Bug fixes & reliability
- Fixed missing schema issues in large databases
- Corrected request status reporting when REST clients disconnect
- Resolved UI issues (tab title flicker, HTTP method highlighting)
- Improved diagnostics (including nginx error logs in slashdb-diag output)
- Numerous additional fixes for stability, performance, and compatibility
Additional details
Usage instructions
Once the instance is running, connect to it with a web browser and follow the initial setup wizard. Personal information on welcome page is optional. For more details please see our "User Guide" at https://docs.slashdb.com/user-guide/ We strongly recommend using HTTPS with SlashDB. To add SSL certificate to your see: https://docs.slashdb.com/user-guide/security/#httpsssl or consider terminating SSL traffic on Elastic Load Balancer or an API Gateway.
Resources
Vendor resources
Support
Vendor support
contact@slashdb.com Seller will respond to inquires posted on StackOverflow, using tag [slashdb].
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.
Updated weekly
By vt.enterprise
By CData Software
By Hasura
Top
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In Data Integration, Databases & Analytics Platforms
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AI generated from product descriptions
Multi-Format Data Export
Automatically constructs REST API endpoints that deliver database content in JSON, CSV, XML, and HTML formats for consumption by web and mobile applications.
SQL Pass-Through Capability
Provides SQL Pass-thru feature enabling direct SQL query execution against databases for unobstructed data access by data scientists and analysts.
Legacy System Integration
Supports integration with legacy systems through microservices architecture, enabling modernization and synchronization of relational data with NoSQL databases such as MongoDB and Apache Hadoop.
Multi-Database Support
Compatible with relational databases including Amazon RDS and supports data synchronization across multiple database platforms and data analysis engines.
Multi-Source Data Connectivity
Supports connection to multiple data sources including RDBMS (SQL Server, MySQL, DB2), NoSQL databases (Mongo, Cassandra), flat files, and custom applications
RESTful API Generation
Automatically generates flexible and fully documented RESTful APIs from connected data sources through point-and-click configuration without requiring custom development
Multiple Data Format Support
Exposes data through multiple formats and protocols including OData, REST, JSON, SOAP, and CSV/TSV
API Security and Management
Includes API management features for security, monitoring, logging, rate limiting, and embedded SSH Reverse Tunneling for secure cross-firewall access
Data Caching and Query Optimization
Provides local data caching capabilities and query offloading functionality to reduce load on source systems and improve performance
GraphQL API Federation
Federate queries and mutations across multiple GraphQL services including relationships across databases, REST and GraphQL APIs without modifying underlying APIs or writing extra code.
Authorization and Access Control
Built-in authorization with support for external and internal API consumers, SSO integration with Active Directory, AWS IAM, and other identity providers.
API Rate Limiting and Protection
Query rate limiting, node limiting, depth limiting, and allow listing capabilities for API protection and traffic management.
Multi-Database Support
Integration with AWS data services including Amazon Aurora, Amazon Athena, Amazon RDS for PostgreSQL, MySQL, MariaDB, SQL Server, and Oracle.
Observability and Monitoring
Integration with APM tools including Datadog, New Relic, Azure Monitor, Prometheus metrics, and OpenTelemetry for streaming logs, metrics, and traces with monitoring and analytics capabilities.
Standard contract
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