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DBMS > Apache Druid vs. GeoSpock vs. HBase vs. Spark SQL vs. STSdb

System Properties Comparison Apache Druid vs. GeoSpock vs. HBase vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGeoSpock  Xexclude from comparisonHBase  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataSpatial and temporal data processing engine for extreme data scaleWide-column store based on Apache Hadoop and on concepts of BigTableSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSWide column storeRelational DBMSKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.73
Rank#111  Overall
#57  Relational DBMS
#6  Time Series DBMS
Score0.13
Rank#307  Overall
#141  Relational DBMS
Score42.45
Rank#26  Overall
#2  Wide column stores
Score23.72
Rank#35  Overall
#21  Relational DBMS
Score0.00
Rank#357  Overall
#56  Key-value stores
Websitedruid.apache.orggeospock.comhbase.apache.orgspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.geospock.com/­Content/­Home.htmhbase.apache.orgspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation and contributorsGeoSpockApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationSTS Soft SC
Initial release2012200820142011
Current release0.22.1, December 20212.0, September 20192.3.4, January 20213.3.0, June 20224.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptJavaScalaC#
Server operating systemsLinux
OS X
Unix
hostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Windows
Data schemeyes infoschema-less columns are supportedyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesyes infoprimitive types and user defined types (classes)
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 indexesyestemporal, categoricalnonono
SQL infoSupport of SQLSQL for queryingANSI SQL for query only (using Presto)noSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCJava API
RESTful HTTP API
Thrift
JDBC
ODBC
.NET Client API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in Javanono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic shardingShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoSingle row ACID (across millions of columns)nono
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.nonoyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per tableAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnono

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More resources
Apache DruidGeoSpockHBaseSpark SQLSTSdb
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