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DBMS > Apache Druid vs. GeoSpock vs. Ingres vs. SAP SQL Anywhere

System Properties Comparison Apache Druid vs. GeoSpock vs. Ingres vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGeoSpock  Xexclude from comparisonIngres  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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 scaleWell established RDBMSRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
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
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitedruid.apache.orggeospock.comwww.actian.com/­databases/­ingreswww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.actian.com/­ingreshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperApache Software Foundation and contributorsGeoSpockActian CorporationSAP infoformerly Sybase
Initial release20121974 infooriginally developed at University Berkely in early 1970s1992
Current release29.0.1, April 20242.0, September 201911.2, May 202217, July 2015
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptC
Server operating systemsLinux
OS X
Unix
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesyesyes
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.nonono infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesyestemporal, categoricalyesyes
SQL infoSupport of SQLSQL for queryingANSI SQL for query only (using Presto)yesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesyes, in C/C++, Java, .Net or Perl
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic shardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesIngres ReplicatorSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
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-standardfine grained access rights according to SQL-standard

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More resources
Apache DruidGeoSpockIngresSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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