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Dgraph vs Tigergraph

Which is the Best Graph Database?

Updated in May 2020

Dgraph

TigerGraph

Native GraphQL Support

Yes

Only DB to natively support GraphQL

No

Distributed ACID Transactions

Supported and Jepsen tested.
  • Only single server ACID transactions, not distributed.
  • You cannot update the graph. Distributed queries currently (as of v2.1) can only read the graph data.
  • Reference

Horizontally Scalable

Dgraph scales vertically and horizontally with no downtime.
  • To go from a non-HA cluster to an HA-cluster, the database must be cleared and shut down first before adding new nodes.
  • Reference 1
  • Reference 2

Distributed Graph database

Yes

Yes

Consistent Replication

Synchronous replication across replicas Strong consistency

Linearizable Reads

Strong (sequential) consistency across clients

Open Source:

  • Yes, Apache 2.0.
  • Proprietary code base is source-available.
  • GitHub

No

Tested for correctness, fault
tolerance and durability

Yes (Jepsen) Not Jepsen tested.

Suitability as a primary database to
build apps/data platform on

Yes, Dgraph is a general-purpose database. Built for **specific"" applications.

Query Language(s)

  • GraphQL
  • GraphQL Foundation founding member
  • GraphQL± (Variation of GraphQL supporting advanced features)
GSQL

Multiple language drivers

  • Official: (Java, JavaScript, Go, Pythonk, C#)
  • Unofficial (Rust, Dart, Elixir)
  • Reference
C++, Java

Protocols

HTTP/HTTPS, gRPC, Protocol Buffers HTTP/HTTPS

Import/export

  • Using BulkLoader or LiveLoader, Dgraph can read the data as is with no modification needed
  • Supported data formats are JSON and RDF
  • Exporting database is explained here

Backups

  • Binary format
  • Both full and incremental backups to files, S3 and Google storage via Minio
  • Live backups with no downtime
  • Reference
  • Proprietary tarball per node
  • No live backup, must turn off writes for consistency.
  • Reference

Point in time recovery

On the roadmap No

Multi-region deployments

Yes

No

Management of runaway queries

  • Context cancellation which works across clients and servers. So, a context cancellation at the client level would automatically cancel the query at all involved servers
  • OpenCensus integration , which allows distributed tracing all the way from app to Dgraph cluster and back.
  • Open standards for query context cancellation and tracking
Yes via query timeout only

Pricing and Free trial

  • Open source version is under Apache 2.0, so free to use and modify.
  • Enterprise version pricing is based on the number of instances of Dgraph, not the number of cores / RAM / Disk, etc…
  • Enterprise 30-day trial

Sharding

  • Predicate-based sharding . Avoids N+1 problem and network broadcasts when running a query in high fanout scenarios. This ensures low-latency query execution, irrespective of the size of the cluster or the number of intermediate results. Reference
  • Consistent production level latencies and consistent queries Reference
  • Automatic sharding
  • Sharding a single predicate on the roadmap
Node-based sharding

High availability

  • Yes, HA Cluster Setup is explained here
  • HA Cluster setup is available in Community Edition.
Yes

Support for graph algorithms

  • Shortest k-paths
  • Edge traversal limit to determine cycles in graphs
  • Others requested from community listed here
Yes

Apache Spark integration

No Allows integration

Kafka integration

On the roadmap Yes

Neo4j Migration tool

No yes

SQL Migration tool

Yes No

Multi-database features

Multi-Tenancy on the roadmap Enterprise Edition Only MultiGraph

Graph Database As A Service (DBaaS)

Hosted solution launching in mid-year 2020 Yes

Query execution plans

Query planning on the roadmap Enterprise only

Authentication and authorization

  • JSON web tokens
  • ACLs for enterprise
  • Integration with LDAP on the roadmap

Transparent data encryption

Yes, database files are encrypted at rest with a user-specified key
  • No file-level encryption.
  • Encryption-at-rest relies on filesystem-level or disk-level encryption only. Reference

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