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DBMS > Neo4j vs. SurrealDB vs. Tarantool

System Properties Comparison Neo4j vs. SurrealDB vs. Tarantool

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonSurrealDB  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionScalable, 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 DBMSIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelGraph DBMSDocument store
Graph DBMS
Document store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score47.91
Rank#20  Overall
#1  Graph DBMS
Score1.08
Rank#176  Overall
#30  Document stores
#16  Graph DBMS
Score1.42
Rank#148  Overall
#26  Document stores
#24  Key-value stores
#66  Relational DBMS
Websiteneo4j.comsurrealdb.comwww.tarantool.io
Technical documentationneo4j.com/­docssurrealdb.com/­docswww.tarantool.io/­en/­doc
DeveloperNeo4j, Inc.SurrealDB LtdVK
Initial release200720222008
Current release5.23, August 2024v1.5.0, May 20242.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen SourceOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaRustC and C++
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Windows
BSD
Linux
macOS
Data schemeschema-free and schema-optionalschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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.no
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnoSQL-like query languageFull-featured ANSI SQL support
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
GraphQL
RESTful HTTP API
WebSocket
Open binary protocol
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Deno
Go
JavaScript (Node.js)
Rust
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infoUser defined Procedures and FunctionsLua, C and SQL stored procedures
Triggersyes infovia event handleryes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j FabricSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integrityyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, full featured in-memory storage engine with persistence
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yes, based on authentication and database rulesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
More information provided by the system vendor
Neo4jSurrealDBTarantool
News

This Week in Neo4j: NODES, Knowledge Graph, Graph Analytics, MCP and more
10 May 2025

Aura Graph Analytics: A Technical Deep Dive
7 May 2025

Introducing Neo4j Aura Graph Analytics: Scalable, Easy-to-Deploy Graph Analytics for Any Data Source
7 May 2025

Agentic GraphRAG for Commercial Contracts
5 May 2025

Simplify Modern Application Development With GraphQL on Neo4j AuraDB
30 April 2025

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More resources
Neo4jSurrealDBTarantool
DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

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2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

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Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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Recent citations in the news

NASA jettisons Neo4j database for Memgraph citing costs
7 May 2025, theregister.com

Neo4j goes serverless, bringing graph analytics to any data source
7 May 2025, SiliconANGLE

Latest Neo4j release aims to simplify graph technology
7 May 2025, TechTarget

Neo4j Launches Industry's First Graph Analytics Offering For Any Data Platform
7 May 2025, PR Newswire

Android Studio Meerkat Feature Drop, Neo4j Aura Graph Analytics, and more software development news
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SurrealDB Launches Surreal Cloud, a Fully Managed Database Service That Tackles the Complexity Issues Faced by Developer Teams
7 December 2024, insideAI News

SurrealDB Empowers Developers to Build Applications with the Launch of SurrealDB University
15 October 2024, Business Wire

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4 December 2024, siliconangle.com

SurrealDB is helping developers consolidate their databases
18 June 2024, TechCrunch

London-based SurrealDB secures over €18.6 million aiming to disrupt database technology
18 June 2024, EU-Startups

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Tarantool Announces New Enterprise Version With Enhanced Scaling and Monitoring Capabilities
18 May 2018, Newswire.com

How to build a high-performance application on Tarantool from scratch
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