Sold by: Basekick Labs Arc
Deployed on AWS
Arc is a high-performance, open-source time-series database built for Industrial IoT, fleet tracking, and sensor data at scale. Ingests 9.47M records/sec and stores data in portable Apache Parquet format, enabling seamless querying with DuckDB, pandas, Spark, and BI tools. Zero vendor lock-in with S3-compatible storage and AGPL 3.0 license.
Overview
Image
Arc Architecture
Image
Arc + Grafana
Image
Arc Visual Code Extension
After years of watching InfluxData customers struggle with vendor lock-in, proprietary storage formats, and expensive migration projects, we built Arc differently. Arc is an open-source time-series database that stores your data in Apache Parquet, the industry-standard columnar format used by Snowflake, Databricks, and BigQuery. This architectural decision means your time-series data works with DuckDB, pandas, Spark, and any modern analytics tool without export steps, format conversions, or vendor-specific APIs.
Arc delivers production-grade performance with 9.47M records/sec sustained ingestion and sub-second analytical queries on billion-row datasets. The database combines DuckDB's vectorized execution engine with intelligent partition pruning and columnar projection to minimize I/O. Deploy on AWS with S3 or EBS storage, integrate with Grafana for dashboards, and ingest data via Telegraf (300+ source plugins), REST API, or direct SDK writes. Arc excels at Industrial IoT workloads including fleet tracking, smart city sensors, manufacturing telemetry, and infrastructure monitoring where both fast writes and analytical queries matter.
Unlike proprietary time-series databases that create data gravity through custom formats, Arc ensures data portability from day one. Your data scientists can query historical data with pandas notebooks, your data engineers can build Spark pipelines, and your analysts can connect Tableau, all reading the same Parquet files Arc writes. For production deployments requiring enterprise support, SLA guarantees, or architecture consulting, contact support@basekick.net . Arc is AGPL 3.0 licensed with 400+ GitHub stars and 150+ production deployments worldwide.
Highlights
- Extreme Performance: 19M records/sec ingestion with sub-second analytical queries on billion-row datasets using DuckDB's vectorized engine and Parquet columnar storage
- Zero Vendor Lock-In: Stores data in portable Apache Parquet format, query with DuckDB, pandas, Spark, Snowflake, or any Parquet-compatible tool without export processes
- Built for Industrial IoT: Production-proven for fleet tracking, smart city sensors, manufacturing telemetry, and high-volume time-series workloads with S3/EBS storage support
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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
This product is available free of charge. Free 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.
Dimensions summary
You run Arc on your own AWS EC2 instances, and the software itself is free. Pricing here reflects the hourly EC2 compute you choose, not a license fee. Five instance sizes are available. The t3.large fits smaller or test workloads. The m8a family scales up through xlarge, 2xlarge, 4xlarge, and 8xlarge, each adding more CPU and memory. You pick the size that matches your ingestion and query load, and you pay per hour for the instance you select. Larger instances handle heavier data volumes.
Top-of-mind questions for buyers
The Arc software is free under an open-source license. You pay only the hourly rate for the EC2 instance size you select. When the instance runs, hourly charges accrue. When you stop the instance, hourly compute charges stop, though AWS storage fees for attached volumes may still apply.
Each size maps to an EC2 instance with set CPU and memory. The t3.large suits smaller or test workloads. The m8a sizes scale up through xlarge, 2xlarge, 4xlarge, and 8xlarge, adding more CPU and memory. You pay per hour, so heavier instances cost more per running hour.
Arc separates compute from storage, keeping data in Parquet files on object storage such as AWS S3. You can select a heavier instance size when ingestion or query load rises. Because storage is decoupled, scaling compute does not require moving your data.
docs.basekick.net+1
Helpful?
Vendor refund policy
Arc AMI is free, no software fees to refund. AWS infrastructure costs (EC2, storage) are billed by AWS; contact AWS Support for infrastructure-related refunds. Enterprise support contracts purchased directly have 30-day refund terms, contact support@basekick.net .
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
Arc 2025.12.1 - Initial AWS Marketplace Release
This is the first AWS Marketplace release of Arc, a high-performance, open-source time-series database built for Industrial IoT workloads.
KEY FEATURES:
- 9.47M records/sec sustained ingestion throughput
- Apache Parquet storage format for true data portability
- DuckDB-powered analytical query engine for sub-second queries
- Native S3 and EBS storage support
- Time-based partition pruning for optimized query performance
- Grafana datasource integration for real-time dashboards
- Telegraf compatibility (300+ data source plugins)
- REST API with MessagePack encoding
- AGPL 3.0 licensed open-source project
INSTANCE RECOMMENDATIONS:
- Development: t3.medium or larger
- Production: m7i.xlarge recommended (m6i.large minimum)
- High-volume: r7i.2xlarge or larger for memory-intensive workloads
STORAGE:
- Recommended: gp3 EBS volumes (100-500GB based on retention needs)
- S3-compatible storage supported for cost-effective long-term retention
- Parquet compression achieves 3-5x data reduction
DOCUMENTATION & SUPPORT:
- Full documentation: https://docs.basekick.net
- GitHub: https://github.com/basekick-labs/arc (400+ stars)
- Community support: GitHub Issues
- Enterprise support: sales@basekick.net
This AMI is free to use. AWS infrastructure costs (EC2, EBS, S3) apply based on your chosen instance size and storage configuration.
Additional details
Usage instructions
SSH: ssh -i key.pem ubuntu@<instance-ip> Check Arc: sudo systemctl status arc API: http://<instance-ip>:8000/health Config: /etc/arc/arc.toml Logs: sudo journalctl -u arc -f
Configure storage (S3/EBS) in arc.toml, then: sudo systemctl restart arc
Ingest: POST to /api/v1/write/msgpack Query: POST to /api/v1/query
Security: Restrict port 8000 in security group
Full docs: https://docs.basekick.net/aws Support: support@basekick.net
Support
Vendor support
Arc offers two support tiers:
COMMUNITY SUPPORT (Free AMI Users):
- Comprehensive documentation at docs.basekick.net
- GitHub issues for bug reports and feature requests
- Community-driven support via GitHub Discussions
- Best-effort response times from the core development team
ENTERPRISE SUPPORT (Paid Contracts): Arc provides enterprise support contracts for production deployments requiring guaranteed response times and architectural guidance. Enterprise support includes:
- Priority email and Slack channel access
- 4-8 hour response time for critical issues
- Architecture consulting and performance optimization
- Custom feature development (optional)
- Direct access to Arc's founding engineer (ex-InfluxData)
Enterprise support starts at $500/month. For pricing and SLA details, contact support@basekick.net .
Arc is actively maintained with regular releases. For urgent production issues affecting free AMI users, email support@basekick.net with "[URGENT]" in the subject line.
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.
Similar products
Arc XP is the hybrid CMS purpose-built for media and broadcast companies. Create, manage, and deliver stories that captivate audiences, all while fueling sustainable growth.
Reliable B2B Connectivity. Codeless Visual Interface. Sleek, Modern EDI.
Reliable B2B Connectivity. Codeless Visual Interface. Sleek, Modern EDI.
Reliable B2B Connectivity. Codeless Visual Interface. Sleek, Modern EDI.
Reliable B2B Connectivity. Codeless Visual Interface. Sleek, Modern EDI.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.