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DBMS > SingleStore vs. TypeDB vs. XTDB

System Properties Comparison SingleStore vs. TypeDB vs. XTDB

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Editorial information provided by DB-Engines
NameSingleStore infoformer name was MemSQL  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionMySQL 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 typeTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query languageA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Document store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.singlestore.comtypedb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.singlestore.comtypedb.com/­docswww.xtdb.com/­docs
DeveloperSingleStore Inc.VaticleJuxt Ltd.
Initial release201320162019
Current release8.5, January 20242.26.3, January 20241.19, September 2021
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoMIT License
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.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++, GoJavaClojure
Server operating systemsLinux info64 bit version requiredLinux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, extensible-data-notation format
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 indexesyesyesyes
SQL infoSupport of SQLyes infobut no triggers and foreign keysnolimited SQL, making use of Apache Calcite
APIs and other access methodsCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
HTTP REST
JDBC
Supported programming languagesBash
C
C#
Java
JavaScript (Node.js)
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Clojure
Java
Server-side scripts infoStored proceduresyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infohash partitioningSharding infoby using Cassandranone
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 infoby using Cassandrayes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan define user-defined aggregate functions for map-reduce-style calculationsyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlFine grained access control via users, groups and rolesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
SingleStore infoformer name was MemSQLTypeDB infoformerly named GraknXTDB infoformerly named Crux
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
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TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
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Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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TypeDB provides a new level of expressivity, extensibility, interoperability, and...
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Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
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Life sciences : TypeDB makes working with biological data much easier and accelerates...
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Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
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Market metricsCustomers in various industries worldwide including US and International Industry...
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Licensing and pricing modelsF ree Tier and Enterprise Edition
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Apache f or language drivers, and AGPL and Commercial for the database server. The...
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More resources
SingleStore infoformer name was MemSQLTypeDB infoformerly named GraknXTDB infoformerly named Crux
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

SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

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24 January 2024, Business Wire

SingleStore adds indexed vector search to Pro Max release for faster AI work – Blocks and Files
29 January 2024, Blocks and Files

Leveraging SingleStoreDB Cloud Private Connectivity Using AWS PrivateLink | Amazon Web Services
6 December 2023, AWS Blog

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15 November 2023, IBM

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16 August 2021, Towards Data Science

provided by Google News



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