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DBMS > Dgraph vs. EXASOL vs. Google Cloud Spanner vs. Neo4j vs. SurrealDB

System Properties Comparison Dgraph vs. EXASOL vs. Google Cloud Spanner vs. Neo4j vs. SurrealDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonNeo4j  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelGraph DBMSRelational DBMSRelational DBMSGraph DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#160  Overall
#15  Graph DBMS
Score1.51
Rank#141  Overall
#63  Relational DBMS
Score2.56
Rank#97  Overall
#50  Relational DBMS
Score47.91
Rank#20  Overall
#1  Graph DBMS
Score1.08
Rank#176  Overall
#30  Document stores
#16  Graph DBMS
Websitedgraph.iowww.exasol.comcloud.google.com/­spannerneo4j.comsurrealdb.com
Technical documentationdgraph.io/­docswww.exasol.com/­resourcescloud.google.com/­spanner/­docsneo4j.com/­docssurrealdb.com/­docs
DeveloperDgraph Labs, Inc.ExasolGoogleNeo4j, Inc.SurrealDB Ltd
Initial release20162000201720072022
Current release5.23, August 2024v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoGPL version3, commercial licenses availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ScalaRust
Server operating systemsLinux
OS X
Windows
hostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnoyesyes infoQuery statements complying to ANSI 2011noSQL-like query language
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
.Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Lua
Python
R
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnouser defined functionsnoyes infoUser defined Procedures and Functions
Triggersnoyesnoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication with 3 replicas for regional instances.Causal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yes, based on authentication and database rules
More information provided by the system vendor
DgraphEXASOLGoogle Cloud SpannerNeo4jSurrealDB
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More resources
DgraphEXASOLGoogle Cloud SpannerNeo4jSurrealDB
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