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DBMS > Apache Druid vs. GeoSpock vs. Microsoft SQL Server vs. Oracle Coherence

System Properties Comparison Apache Druid vs. GeoSpock vs. Microsoft SQL Server vs. Oracle Coherence

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOracle Coherence  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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 scaleMicrosofts flagship relational DBMSOracles in-memory data grid solution
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value store
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial 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
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitedruid.apache.orggeospock.comwww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­java/­coherence
Technical documentationdruid.apache.org/­docs/­latest/­designlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software Foundation and contributorsGeoSpockMicrosoftOracle
Initial release201219892007
Current release29.0.1, April 20242.0, September 2019SQL Server 2022, November 202214.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptC++Java
Server operating systemsLinux
OS X
Unix
hostedLinux
Windows
All OS with a Java VM
Data schemeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyestemporal, categoricalyesno
SQL infoSupport of SQLSQL for queryingANSI SQL for query only (using Presto)yesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JCache
JPA
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C++
Java
Server-side scripts infoStored proceduresnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnonoyesyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic shardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes, but depending on the SQL-Server Editionyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
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 tablefine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authentication

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Apache DruidGeoSpockMicrosoft SQL ServerOracle Coherence
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