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DBMS > Apache Druid vs. gStore vs. Splice Machine vs. TerminusDB

System Properties Comparison Apache Druid vs. gStore vs. Splice Machine vs. TerminusDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisongStore  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA native Graph DBMS to store and maintain very large RDF datasets.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMS
RDF store
Relational DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.03
Rank#367  Overall
#37  Graph DBMS
#18  RDF stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score0.19
Rank#311  Overall
#27  Graph DBMS
Websitedruid.apache.orgen.gstore.cnsplicemachine.comterminusdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designen.gstore.cn/­#/­enDocssplicemachine.com/­how-it-worksterminusdb.github.io/­terminusdb/­#
DeveloperApache Software Foundation and contributorsSplice MachineDataChemist Ltd.
Initial release2012201620142018
Current release30.0.0, June 20241.2, November 20233.1, March 202111.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSDOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaProlog, Rust
Server operating systemsLinux
OS X
Unix
LinuxLinux
OS X
Solaris
Windows
Linux
Data schemeyes infoschema-less columns are supportedschema-free and OWL/RDFS-schema supportyesyes
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.nonono
Secondary indexesyesyes
SQL infoSupport of SQLSQL for queryingnoyesSQL-like query language (WOQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP API
SPARQL 1.1
JDBC
Native Spark Datasource
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Python
Server-side scripts infoStored proceduresnoyesyes infoJavayes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShared Nothhing Auto-Sharding, Columnar PartitioningGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers, roles and permissions, Role-Based Access Control (RBAC) supportedAccess rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
Apache DruidgStoreSplice MachineTerminusDB infoformer name was DataChemist
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