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DBMS > Apache Druid vs. GeoSpock vs. Google Cloud Spanner vs. Manticore Search vs. Sequoiadb

System Properties Comparison Apache Druid vs. GeoSpock vs. Google Cloud Spanner vs. Manticore Search vs. Sequoiadb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonManticore Search  Xexclude from comparisonSequoiadb  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 scaleA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Multi-storage database for search, including full-text search.NewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSSearch engineDocument store
Relational DBMS
Secondary database modelsTime Series DBMSTime Series DBMS infousing the Manticore Columnar Library
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
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitedruid.apache.orggeospock.comcloud.google.com/­spannermanticoresearch.comwww.sequoiadb.com
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.google.com/­spanner/­docsmanual.manticoresearch.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation and contributorsGeoSpockGoogleManticore SoftwareSequoiadb Ltd.
Initial release2012201720172013
Current release29.0.1, April 20242.0, September 20196.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoGPL version 2Open Source infoServer: AGPL; Client: Apache V2
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++C++
Server operating systemsLinux
OS X
Unix
hostedhostedFreeBSD
Linux
macOS
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infooid, date, timestamp, binary, regex
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.nononoCan index from XMLno
Secondary indexesyestemporal, categoricalyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL for queryingANSI SQL for query only (using Presto)yes infoQuery statements complying to ANSI 2011SQL-like query languageSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
proprietary protocol using JSON
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnononouser defined functionsJavaScript
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic shardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication with 3 replicas for regional instances.Synchronous replication based on Galera librarySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoStrict serializable isolationyes infoisolated transactions for atomic changes and binary logging for safe writesDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
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)nosimple password-based access control

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More resources
Apache DruidGeoSpockGoogle Cloud SpannerManticore SearchSequoiadb
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