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DBMS > Apache Druid vs. GeoSpock vs. Google Cloud Bigtable vs. OpenTenBase vs. SpatiaLite

System Properties Comparison Apache Druid vs. GeoSpock vs. Google Cloud Bigtable vs. OpenTenBase vs. SpatiaLite

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOpenTenBase  Xexclude from comparisonSpatiaLite  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 scaleGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An enterprise-level distributed HTAP open source database based on PostgreSQLSpatial extension of SQLite
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value store
Wide column store
Relational DBMSSpatial DBMS
Secondary database modelsTime Series DBMSRelational 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
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitedruid.apache.orggeospock.comcloud.google.com/­bigtablegithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
www.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.google.com/­bigtable/­docsdocs.opentenbase.org
docs.opentenbase.org/­en
www.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software Foundation and contributorsGeoSpockGoogleOpenAtom Foundation, previously TencentAlessandro Furieri
Initial release201220152008
Current release29.0.1, April 20242.0, September 20192.5, January 20245.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoBSD-3Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
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
hostedhostedLinuxserver-less
Data schemeyes infoschema-less columns are supportedyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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, categoricalnoyesyes
SQL infoSupport of SQLSQL for queryingANSI SQL for query only (using Presto)noyesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
Go
Java
PHP
Python
Server-side scripts infoStored proceduresnononono
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic shardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesInternal replication in Colossus, and regional replication between two clusters in different zonesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic single-row operationsACIDACID
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.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 tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardno

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More resources
Apache DruidGeoSpockGoogle Cloud BigtableOpenTenBaseSpatiaLite
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