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DBMS > Apache Druid vs. Graph Engine vs. Hypertable vs. XTDB

System Properties Comparison Apache Druid vs. Graph Engine vs. Hypertable vs. XTDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHypertable  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open source BigTable implementation based on distributed file systems such as HadoopA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMS
Key-value store
Wide column storeDocument 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
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.18
Rank#332  Overall
#46  Document stores
Websitedruid.apache.orgwww.graphengine.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.graphengine.io/­docs/­manualwww.xtdb.com/­docs
DeveloperApache Software Foundation and contributorsMicrosoftHypertable Inc.Juxt Ltd.
Initial release2012201020092019
Current release29.0.1, April 20240.9.8.11, March 20161.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMIT LicenseOpen Source infoGNU version 3. Commercial license availableOpen 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 languageJava.NET and CC++Clojure
Server operating systemsLinux
OS X
Unix
.NETLinux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java 8 (and higher) VM
Linux
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes, 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 indexesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL for queryingnonolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIC++ API
Thrift
HTTP REST
JDBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
F#
Visual Basic
C++
Java
Perl
PHP
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresnoyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor on file system levelyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes, 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 systemno

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More resources
Apache DruidGraph Engine infoformer name: TrinityHypertableXTDB infoformerly named Crux
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