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DBMS > Immudb vs. SingleStore vs. Splice Machine

System Properties Comparison Immudb vs. SingleStore vs. Splice Machine

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Editorial information provided by DB-Engines
NameImmudb  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#292  Overall
#42  Key-value stores
Score3.93
Rank#69  Overall
#37  Relational DBMS
Score0.54
Rank#242  Overall
#114  Relational DBMS
Websitegithub.com/­codenotary/­immudb
immudb.io
www.singlestore.comsplicemachine.com
Technical documentationdocs.immudb.iodocs.singlestore.comsplicemachine.com/­how-it-works
DeveloperCodenotarySingleStore Inc.Splice Machine
Initial release202020132014
Current release1.2.3, April 20228.5, January 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availableOpen Source infoAGPL 3.0, commercial license available
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 languageGoC++, GoJava
Server operating systemsBSD
Linux
macOS
Solaris
Windows
z/OS
Linux info64 bit version requiredLinux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like syntaxyes infobut no triggers and foreign keysyes
APIs and other access methodsgRPC protocol
PostgreSQL wire protocol
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlFine grained access control via users, groups and rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
ImmudbSingleStore infoformer name was MemSQLSplice Machine
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Recent citations in the news

immudb Gains Market Momentum as the Leading Immutable Database for Secure and Tamper-Proof Data Storage
11 March 2025, Business Wire

A Step by Step Guide to immudb β€” the open source immutable database
18 May 2020, HackerNoon

Immudb: Open-source database, built on a zero trust model
17 December 2021, Help Net Security

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

The Alpha and Omega of software supply chain security
4 February 2022, ZDNET

provided by Google News

SingleStore Appoints Nadeem Asghar as Chief Technology Officer
17 April 2025, citybiz

SingleStore's BryteFlow acquisition targets data integration
3 October 2024, TechTarget

SingleStore Acquires BryteFlow ​​to Accelerate Adoption of Real-Time Analytics, GenAI
3 October 2024, Business Wire

SingleStore acquires BryteFlow to boost data ingestion capabilities
3 October 2024, InfoWorld

Announcing watsonx.ai and SingleStore for generative AI applications
16 October 2024, IBM

provided by Google News

Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, theregister.com

Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine Learning
19 January 2021, PR Newswire

Splice Machine SQL Database Scales On Hadoop
22 September 2023, Information Week

Monte Zweben's Splice Machine Introduces New Hadoop RDBMS
24 June 2014, Forbes

Why Blockchain Will Never Kill the Database
7 August 2018, TDWI

provided by Google News



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