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It's a split decision.
Choose TigerData for time-series and machine-data workloads that fit Postgres: its Performance plan starts at $30/month, with compute and storage metered separately. Choose TigerGraph when the job is connecting entities for graph analytics, GraphRAG, or governed enterprise decisions; Savanna starts at $45/GB/month, with instance charges of $1–$256/hour. TigerGraph offers free Community and Savanna evaluation options; TigerData lists a 30-day trial but no free plan. These are different database categories, so compare workload fit before price.
01Side by side
| TigerData | TigerGraph | |
|---|---|---|
| Starting price | From $30/month; compute and storage billed separately | From $45/GB-month; instance charges also apply |
| Free plan | No free plan; 30-day trial | Free Community edition and Savanna Free Trial |
| Best for | Time-series and machine-data workloads on Postgres | Enterprise graph analytics and relationship-driven decisions |
| Core strength | Time-series SQL, tiered storage, and hybrid search | Multi-hop reasoning, governance, and GraphRAG |
| Learning curve | Not published; PostgreSQL-based | Not published; supports GSQL, Cypher, and GQL |
| Integrations/data | Kafka and S3 ingestion; Iceberg replication | AWS, Azure, GCP, and on-prem deployment |
| Team/seat costs | No seat-based pricing published | No seat-based pricing published |
| Support | Enterprise: 24/7 support; one-hour Sev 1 response | Standard or premium support, depending on plan |
TigerData Choose TigerData if
- Your workload is time-series or machine data on Postgres.
- You want Kafka/S3 ingestion and Iceberg replication.
- A $30/month listed starting plan fits; check metered charges.
TigerGraph Choose TigerGraph if
- You need graph analytics across connected enterprise entities.
- You want GraphRAG grounded in relationship evidence.
- A free Community edition or Savanna evaluation suits your needs.
02Pricing compared
TigerData’s Performance plan is listed at $30 per month, but that is not a flat all-in price: compute and storage are metered hourly and billed monthly in arrears. The plan includes up to 4 database services, each with up to 8 CPUs, 32 GB memory and 16 TB disk. Storage is listed at $0.177/GB-month. Scale starts at $36 per month, with higher service limits and storage at $0.212/GB-month; tiered storage is $0.021/GB-month on Scale and Enterprise.
TigerGraph Savanna starts at $45 per GB per month, plus instance charges of $1–$256 per hour. Business Critical starts at $126 per GB per month, with instance rates of $2.80–$499.20 per hour. TigerGraph also lists free Community and Savanna evaluation options. The prices use different billing units, so compare a workload estimate—not the starting figures alone.
03Features and depth
TigerData is the closer fit for time-series and machine-data workloads that belong in Postgres. Its feature set includes automatic partitioning by time and key, row-columnar storage, compression, and tiered storage that keeps hot data on SSD and colder data on object storage. It also lists Kafka and S3 ingestion, replication to Iceberg, more than 200 time-series SQL functions, and hybrid keyword and vector search with filters and ranking.
TigerGraph is built around relationships among entities such as people, accounts, devices, products, and transactions. Its homepage says the platform can reason across billions of relationships in milliseconds; it also highlights real-time decisions, graph-based evidence for GraphRAG, and controls including ACID compliance, fine-grained security, policy enforcement, and provenance tracking. It supports Kubernetes-native deployment across AWS, Azure, GCP, and on-premise environments. These are different database categories: TigerData centers on time-series Postgres, while TigerGraph centers on graph analytics and connected-data reasoning. Choose by data model and workload, not feature-count comparisons.
04Ease of use and learning curve
TigerData may be the more direct route for teams already building around Postgres and SQL: the product is a Postgres database and lists time-series SQL functions. That does not remove the work of sizing services or tracking metered compute and storage costs. Check the limits and estimate usage before moving production data.
TigerGraph’s learning curve depends on whether your team already works with graph data. Its Community edition lists GSQL, Cypher, and GQL, while the managed Savanna plans include backups and, on paid Savanna, rolling upgrades. Enterprise self-managed deployments have separate capabilities and custom pricing. Deployment choice, graph modeling, and hourly instance charges are factors to settle before switching.
Questions people ask
Is TigerData or TigerGraph cheaper?
The listed starting prices are not directly comparable: TigerData Performance starts at $30 per month, with metered compute and storage, while TigerGraph Savanna starts at $45 per GB per month plus hourly instance charges. The cheaper option depends on workload size and usage; estimate both with your expected storage and compute.
Can TigerData replace TigerGraph?
Usually not as a like-for-like switch. TigerData is a Postgres database aimed at time-series and machine data; TigerGraph is a graph platform for connecting entities and querying relationships. If your main need is graph reasoning or graph-based evidence for AI, compare TigerGraph’s graph capabilities with your requirements before considering a Postgres migration.
Which product is better for GraphRAG?
TigerGraph is the more direct fit in this comparison: its product materials describe GraphRAG support that uses relationship evidence to ground AI answers in connected enterprise data. TigerData lists hybrid keyword and vector search, but the published product information does not describe it as a graph-reasoning or GraphRAG platform.
Does either product have a free option?
TigerGraph lists a free Community edition for single-server projects, with up to 300 GB of graph and vector storage, and a $0 Savanna Free Trial option. TigerData lists a 30-day trial but no free plan. Check the relevant plan terms before relying on an evaluation option for ongoing production use.