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DBMS > LeanXcale vs. TimescaleDB vs. TimesTen vs. Titan vs. ToroDB

System Properties Comparison LeanXcale vs. TimescaleDB vs. TimesTen vs. Titan vs. ToroDB

Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTimesTen  Xexclude from comparisonTitan  Xexclude from comparisonToroDB  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.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLIn-Memory RDBMS compatible to OracleTitan is a Graph DBMS optimized for distributed clusters.A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSGraph DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitewww.leanxcale.comwww.timescale.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlgithub.com/­thinkaurelius/­titangithub.com/­torodb/­server
Technical documentationdocs.timescale.comdocs.oracle.com/­database/­timesten-18.1github.com/­thinkaurelius/­titan/­wiki
DeveloperLeanXcaleTimescaleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Aurelius, owned by DataStax8Kdata
Initial release20152017199820122016
Current release2.15.0, May 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache license, version 2.0Open Source infoAGPL-V3
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.
Implementation languageCJavaJava
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Unix
Windows
All OS with a Java 7 VM
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or datenumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyesyesyes infostring, integer, double, boolean, date, object_id
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.yesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infothrough Apache Derbyyes infofull PostgreSQL SQL syntaxyesno
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
Java
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
C++
Java
PL/SQL
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellPL/SQLyes
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes, across time and space (hash partitioning) attributesnoneyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with hot standby and reads on replicas infoMulti-source replication
Source-replica replication
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesyesyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpointsyes 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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph ServerAccess rights for users and roles

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More resources
LeanXcaleTimescaleDBTimesTenTitanToroDB
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