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DBMS > Apache Druid vs. Apache Phoenix vs. GeoSpock vs. Graph Engine vs. Sqrrl

System Properties Comparison Apache Druid vs. Apache Phoenix vs. GeoSpock vs. Graph Engine vs. Sqrrl

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGeoSpock  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonSqrrl  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA scale-out RDBMS with evolutionary schema built on Apache HBaseSpatial and temporal data processing engine for extreme data scaleA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSGraph DBMS
Key-value store
Document store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsTime 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
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Websitedruid.apache.orgphoenix.apache.orggeospock.comwww.graphengine.iosqrrl.com
Technical documentationdruid.apache.org/­docs/­latest/­designphoenix.apache.orgwww.graphengine.io/­docs/­manual
DeveloperApache Software Foundation and contributorsApache Software FoundationGeoSpockMicrosoftAmazon infooriginally Sqrrl Data, Inc.
Initial release2012201420102012
Current release29.0.1, April 20245.0-HBase2, July 2018 and 4.15-HBase1, December 20192.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0commercialOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, Javascript.NET and CJava
Server operating systemsLinux
OS X
Unix
Linux
Unix
Windows
hosted.NETLinux
Data schemeyes infoschema-less columns are supportedyes infolate-bound, schema-on-read capabilitiesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyesyestemporal, categoricalyes
SQL infoSupport of SQLSQL for queryingyesANSI SQL for query only (using Presto)nono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCJDBCRESTful HTTP APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
F#
Visual Basic
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnouser defined functionsnoyesno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingAutomatic shardinghorizontal partitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
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 systemAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per tableCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Apache DruidApache PhoenixGeoSpockGraph Engine infoformer name: TrinitySqrrl
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