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Dgraph vs Fauna
Which is the Best Graph Database?
Updated in July 2021
| Dgraph | Fauna | |
|---|---|---|
Native GraphQL Support |
Yes Only DB to natively support GraphQL resulting in capacity to process GraphQL queries in parallel with high performance |
Yes Fauna has native GraphQL support for data access. It generates some basic queries and mutation types from the schema, but doesn't offer delete operations through GraphQL. For update mutations, you have to do a partial-update-mutation through Schema Previews. |
Distributed Graph Database |
Distributed with the ability to use the same query everywhere as if querying a single database |
Fauna does not specialize in a single type of database model. Instead it supports multiple database models including:
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Distributed ACID Transactions |
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Fauna uses a Calvin-inspired protocol to ensure full ACID transactions and is Jepsen tested. |
Sharding |
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Every FaunaDB cluster is made up of three or more logical datacenters (a physical datacenter can contain more than one logical datacenter).
Data is partitioned by primary key. Indexes are partitioned by term. Both instances and indexes scale linearly for reads and writes, regardless of their cardinality or the number of nodes in the physical cluster. |
Consistent Replication |
Synchronous replication across all replicas |
Fauna’s Calvin-inspired system also works as a data replication layer offering consistent replication and is semi-synchronous. |
Linearizable Reads |
Strong (sequential) consistency across clients. Reference |
Fauna defaults to strict serializability for read-write transactions and snapshot isolation for read-only transactions. |
Correctness and Durability Testing |
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High Availability |
Yes
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Transparent Data Encryption |
Yes Yes, database files are encrypted at rest with a user-specified key |
Not supported |
Query Languages |
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Management of Runaway Queries |
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Fauna employs cooperative scheduling with QoS to achieve performant multi-tenant architecture. It processes queries at granular level to mitigate overheads from context switching in the events of runaway queries. |
Backups |
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Fauna doesn’t offer any backup and restore solution. |
Pricing and Free Trial |
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Fauna is not open source so no community edition is available.
Fauna pricing is based on usage |
Appropriate as primary database to build apps/data platform on |
Dgraph is a general-purpose database |
Fauna supports many different use cases and can be used as a primary database. |
Open Source |
Yes
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No Fauna is not open source and uses a closed source approach to all of their offerings. The drivers and Fauna shell are open source under the Mozilla Public License. |
Protocols |
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Point in Time Recovery |
On the roadmap |
Fauna has a temporal storage engine that stores the last 30 days of history for each document. This provides simple recovery in case of accidental data loss. |
Multi-Region Deployments |
Yes |
Yes |
SQL Migration Tool |
Yes |
No Some third-party tools may be available to help though with varying consistency |
Authentication and Authorization |
Fauna provides identity-based and anonymous-based access models, through the following features:
JSON web tokens and Auth0 integration is only available under a paid plan. |
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Drivers |
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Fauna officially supports drivers for the following programming languages, including: C#, Go, Java, and more. Community supported drivers are also available for Ruby and Swift. |
Multi-Database Features |
Multi-tenancy supported since Dgraph v21.03 |
Fauna supports Multi-Tenancy |
Graph Database as a Service (DBaaS) |
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Yes Fauna does expose ability to run as a DBaaS solution. |
Query Execution Plans |
Query planning on the roadmap |
No |
Support for Graph Algorithms |
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No |
Apache Spark Integration |
No |
No |
Kafka Integration |
On the roadmap |
No |
Import/ Export |
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