DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Immudb vs. Kinetica vs. Neo4j vs. SAP SQL Anywhere vs. Vitess

System Properties Comparison Immudb vs. Kinetica vs. Neo4j vs. SAP SQL Anywhere vs. Vitess

Editorial information provided by DB-Engines
NameImmudb  Xexclude from comparisonKinetica  Xexclude from comparisonNeo4j  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Fully vectorized database across both GPUs and CPUsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeRelational DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#295  Overall
#42  Key-value stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score42.68
Rank#21  Overall
#1  Graph DBMS
Score3.50
Rank#81  Overall
#44  Relational DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitegithub.com/­codenotary/­immudb
immudb.io
www.kinetica.comneo4j.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlvitess.io
Technical documentationdocs.immudb.iodocs.kinetica.comneo4j.com/­docshelp.sap.com/­docs/­SAP_SQL_Anywherevitess.io/­docs
DeveloperCodenotaryKineticaNeo4j, Inc.SAP infoformerly SybaseThe Linux Foundation, PlanetScale
Initial release20202012200719922013
Current release1.2.3, April 20227.1, August 20215.23, August 202417, July 201515.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL version3, commercial licenses availablecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageGoC, C++Java, ScalaGo
Server operating systemsBSD
Linux
macOS
Solaris
Windows
z/OS
LinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeschema-freeyesschema-free and schema-optionalyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Luceneyesyes
SQL infoSupport of SQLSQL-like syntaxSQL-like DML and DDL statementsnoyesyes infowith proprietary extensions
APIs and other access methodsgRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
HTTP API
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functionsyes infoUser defined Procedures and Functionsyes, in C/C++, Java, .Net or Perlyes infoproprietary syntax
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infovia event handleryesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes using Neo4j FabricnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replication infoDatabase mirroringMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.noyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
ImmudbKineticaNeo4jSAP SQL Anywhere infoformerly called Adaptive Server AnywhereVitess
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

Elevate Fraud Detection With Neo4j on AWS: Uncover Hidden Patterns and Enhance Accuracy
20 September 2024

The Ethics of Generative AI: Understanding the Principles and Risks
18 September 2024

GraphSummit Europe 2024: Actionable Insights From Industry Leaders and Innovators
18 September 2024

This Week in Neo4j: Knowledge Graph, Data Loading, Olympics, CSV and more
7 September 2024

Neo4j Expands Cloud Database Capabilities to Power Enterprise-Scale Graph Deployments
4 September 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ImmudbKineticaNeo4jSAP SQL Anywhere infoformerly called Adaptive Server AnywhereVitess
DB-Engines blog posts

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

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

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

show all

Recent citations in the news

immudb (immutable database) ‘tamper-proof’ database
14 December 2021, ComputerWeekly.com

A Step by Step Guide to immudb — the open source immutable database
18 May 2020, hackernoon.com

Codenotary brings its immutable database to the cloud
21 June 2023, TechCrunch

Codenotary Uses Immutable Database to Verify Software Artifacts
26 October 2021, DevOps.com

Storage news ticker – November 15
15 November 2021, Blocks & Files

provided by Google News

Kinetica Elevates RAG with Fast Access to Real-Time Data
26 March 2024, Datanami

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

Kinetica ramps up RAG for generative AI, empowering enterprises with real-time operational data
18 March 2024, SiliconANGLE News

Kinetica: AI is a ‘killer app’ for data analytics
2 May 2023, Blocks & Files

Kinetica Taps Dell for Hardware
12 June 2018, Finovate

provided by Google News

Neo4j lowers barriers to graph technology with gen AI copilot, 15x read capacity
4 September 2024, VentureBeat

Neo4j Announces Collaboration with Snowflake for Advanced AI Insights & Predictive Analytics
4 June 2024, PR Newswire

Neo4j charts upward course for GraphRAG in graph databases
4 September 2024, Techzine Europe

Neo4j Transforms Its Cloud Database Portfolio to Accelerate Graph Adoption & GenAI for the Enterprise
9 September 2024, insideBIGDATA

Neo4j eyes GenAI workloads in APAC
18 July 2024, ComputerWeekly.com

provided by Google News

SAP Products & Services Data Portfolio
2 July 2021, Datamation

SAP vulnerabilities Let Attacker Inject OS Commands—Patch Now!
11 July 2023, CybersecurityNews

Securing SAP with AWS Network Firewall: Part 2 – Managed Rules
17 July 2023, AWS Blog

MindsDB is now the leading and fastest growing applied ML platform in the world
3 November 2022, PR Newswire

Gartner’s Magic Quadrant for Cloud Database Management Systems
9 December 2020, CRN

provided by Google News

Deepthi Sigireddi on Distributed Database Architecture in the Cloud Native Era
20 May 2024, InfoQ.com

They scaled YouTube — now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale offers undo button to reverse schema migration without losing data
24 March 2022, The Register

CNCF’s Vitess Scales MySQL with the Help of Kubernetes
9 February 2018, The New Stack

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here