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DBMS > LeanXcale vs. SingleStore vs. Titan vs. Transwarp Hippo

System Properties Comparison LeanXcale vs. SingleStore vs. Titan vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTitan  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesMySQL 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 typeTitan is a Graph DBMS optimized for distributed clusters.Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelKey-value store
Relational DBMS
Relational DBMSGraph DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websitewww.leanxcale.comwww.singlestore.comgithub.com/­thinkaurelius/­titanwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.singlestore.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperLeanXcaleSingleStore Inc.Aurelius, owned by DataStax
Initial release2015201320122023
Current release8.5, January 20241.0, May 2023
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoApache license, version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, GoJavaC++
Server operating systemsLinux info64 bit version requiredLinux
OS X
Unix
Windows
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and String
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 indexesyesyesno
SQL infoSupport of SQLyes infothrough Apache Derbyyes infobut no triggers and foreign keysnono
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP API
Supported programming languagesC
Java
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
C++
Java
Python
Server-side scripts infoStored proceduresyesyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infohash partitioningyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infostores two copies of each physical data partition on two separate nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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 infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlFine grained access control via users, groups and rolesUser authentification and security via Rexster Graph ServerRole based access control and fine grained access rights

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More resources
LeanXcaleSingleStore infoformer name was MemSQLTitanTranswarp Hippo
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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Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

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Recent citations in the news

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