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

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

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataOpen-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 relationshipsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSGraph DBMSDocument store
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitedruid.apache.orgsplicemachine.comterminusdb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designsplicemachine.com/­how-it-worksterminusdb.github.io/­terminusdb/­#www.xtdb.com/­docs
DeveloperApache Software Foundation and contributorsSplice MachineDataChemist Ltd.Juxt Ltd.
Initial release2012201420182019
Current release29.0.1, April 20243.1, March 202111.0.0, January 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaProlog, RustClojure
Server operating systemsLinux
OS X
Unix
Linux
OS X
Solaris
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, 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 SQLSQL for queryingyesSQL-like query language (WOQL)limited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Native Spark Datasource
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
HTTP REST
JDBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Python
Clojure
Java
Server-side scripts infoStored proceduresnoyes infoJavayesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShared Nothhing Auto-Sharding, Columnar PartitioningGraph Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Journaling Streamsyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes, 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.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
Apache DruidSplice MachineTerminusDB infoformer name was DataChemistXTDB infoformerly named Crux
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