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It's a split decision.
Choose TigerData if your application already uses Postgres and needs time-series storage, analytics, or machine-data ingestion. TimescaleDB is open source and self-hostable, with managed plans for AWS and Azure. Choose TigerGraph for workloads that depend on multi-hop reasoning across connected records, such as fraud analysis or supply-chain intelligence. It offers managed Savanna plans and self-managed deployments, including a free single-server Community edition. Their pricing and features address different data models, so compare costs against your workload rather than headline starting prices.
01Side by side
| TigerData | TigerGraph | |
|---|---|---|
| Pricing model | Monthly service tiers; compute and storage metered hourly | Per-GB monthly plans plus hourly instance charges |
| Free tier | No free plan; 30-day free trial | Free Community edition and Savanna trial |
| Open source and license | TimescaleDB is open source; license unspecified | Open-source status and license not stated |
| Self-hosting | Self-hostable TimescaleDB | Community single-server; Enterprise self-managed |
| API and SDKs | Postgres SQL, APIs, CLI, and UI | APIs, SDKs, and GraphQL |
| Integrations | Kafka, S3, Iceberg, and Postgres ecosystem | Streaming, analytics, cloud, and AI orchestration |
| Deployment model | Managed cloud or self-hosted | Managed Savanna or self-managed Enterprise |
| Platforms | AWS and Azure availability | AWS, Azure, GCP, and on-premises |
TigerData Choose TigerData if
- Choose TigerData if you need time-series analytics in Postgres.
- Choose TigerData if you want to self-host open-source TimescaleDB.
- Choose TigerData if Kafka, S3, or Iceberg fit your data pipeline.
TigerGraph Choose TigerGraph if
- Choose TigerGraph if your queries traverse connected enterprise records.
- Choose TigerGraph if fraud or AML needs multi-hop reasoning.
- Choose TigerGraph if you need managed graph hosting or on-premises deployment.
02Pricing at real usage
TigerData has no free plan, but offers a 30-day trial. Performance lists $30/month and Scale $36/month; Enterprise pricing is not listed. Compute and storage are usage-metered hourly, with monthly invoices in arrears. Storage is $0.177/GB-month on Performance or $0.212/GB-month on Scale; tiered storage is $0.021/GB-month. HA and read replicas bill at the primary service rate, and IO Boost or production support may add charges.
TigerGraph’s Community edition is free for one server, with up to 300 GB of graph and vector storage. Savanna Free Trial lists $0 per GB/month. Savanna lists $45 per GB/month, plus instances at $1–$256/hour. Business Critical lists $126 per GB/month, plus instances at $2.80–$499.20/hour. Storage adds $0.025/GB/month; regional factors can affect instance rates. Model the instance and storage charges against your expected workload.
03API, SDKs and integration
TigerData is Postgres-native: applications can use SQL, APIs, a CLI, and a UI. Its time-series functions provide more than 200 SQL functions for time-based analytics. The listed integrations include Kafka and S3 ingestion, replication to Iceberg, and the wider Postgres ecosystem. The pricing page lists AWS and Azure availability. The vendor does not name specific SDK languages, so check driver and client compatibility before standardizing application code.
TigerGraph lists APIs, SDKs, and GraphQL, along with connections to streaming platforms, analytics systems, cloud infrastructure, and AI orchestration frameworks. Its graph algorithm library and hybrid graph/vector search support graph-oriented workloads. The vendor does not name SDK languages in its homepage material; confirm language support and the APIs available for your query patterns before choosing a client. TigerGraph’s listed deployment options include AWS, Azure, GCP, and on-premises. Neither product’s integration list alone guarantees compatibility with a particular connector or pipeline version.
04Open source, self-hosting and lock-in
TigerData makes TimescaleDB available as open-source software and supports self-hosting. The vendor does not identify the TimescaleDB license in the stated product details, so verify its terms before redistributing or modifying it. Managed TigerData is available on AWS and Azure. Its Postgres-native SQL interface and ecosystem can make it a fit for teams already using Postgres, but the vendor does not publish specific data-export procedures here; ask about export formats and migration support before relying on managed services.
TigerGraph supports self-hosting through Community and Enterprise editions. Community is limited to a single server and 300 GB of graph and vector storage; Enterprise is described for self-managed deployments scaling beyond 100 TB. TigerGraph does not state an open-source license. Moving between these products is not simply a database endpoint change: TigerData centers on time-series data in Postgres, while TigerGraph models relationships for graph queries. Confirm export options and estimate the work to map schemas and queries.
Questions people ask
Are TigerData and TigerGraph the same kind of database?
No. TigerData makes TimescaleDB, a Postgres database designed for sensor and machine data, including time-series storage and analytics. TigerGraph is a graph database and relationship intelligence layer for querying connected enterprise data. Choose based on whether the central requirement is time-based analysis or traversing relationships.
Which product has a free plan?
TigerGraph lists a free Community edition for a single server, with up to 300 GB of graph and vector storage, and a Savanna Free Trial. TigerData has no free plan but offers a 30-day trial. The trial terms and workload limits should be checked before planning a production evaluation.
Can we self-host TigerData or TigerGraph?
Yes. TigerData offers self-hosted TimescaleDB. TigerGraph offers a single-server Community edition and a self-managed Enterprise edition. The products have different data models and edition limits, so assess storage needs, query design, and the operational work required for the deployment you choose.
Which one should we use for fraud detection?
TigerGraph is the closer fit when fraud detection depends on multi-hop reasoning across connected people, accounts, devices, merchants, and transactions. TigerData is aimed at time-series and machine-data workloads; it may fit fraud systems that primarily analyze event history over time, but it is not presented as a graph database.