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DBMS > Apache Druid vs. Atos Standard Common Repository vs. Drizzle vs. TigerGraph vs. Warp 10

System Properties Comparison Apache Druid vs. Atos Standard Common Repository vs. Drizzle vs. TigerGraph vs. Warp 10

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDrizzle  Xexclude from comparisonTigerGraph  Xexclude from comparisonWarp 10  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Relational DBMSGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitedruid.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.tigergraph.comwww.warp10.io
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.tigergraph.comwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsDrizzle project, originally started by Brian AkerSenX
Initial release20122016200820172015
Current release29.0.1, April 202417037.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoGNU GPLcommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++Java
Server operating systemsLinux
OS X
Unix
LinuxFreeBSD
Linux
OS X
LinuxLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL for queryingnoyes infowith proprietary extensionsSQL-like query language (GSQL)no
APIs and other access methodsJDBC
RESTful HTTP/JSON API
LDAPJDBCGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
HTTP API
Jupyter
WebSocket
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages with LDAP bindingsC
C++
Java
PHP
C++
Java
Server-side scripts infoStored proceduresnononoyesyes infoWarpScript
Triggersnoyesno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infocell divisionShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemLDAP bind authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache DruidAtos Standard Common RepositoryDrizzleTigerGraphWarp 10
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