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DBMS > Apache Doris vs. BigchainDB vs. FileMaker vs. GeoSpock vs. SingleStore

System Properties Comparison Apache Doris vs. BigchainDB vs. FileMaker vs. GeoSpock vs. SingleStore

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonBigchainDB  Xexclude from comparisonFileMaker  Xexclude from comparisonGeoSpock  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsFileMaker is a cross-platform RDBMS that includes a GUI frontend.Spatial and temporal data processing engine for extreme data scaleMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#235  Overall
#110  Relational DBMS
Score0.76
Rank#216  Overall
#36  Document stores
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.bigchaindb.comwww.claris.com/­filemakergeospock.comwww.singlestore.com
Technical documentationgithub.com/­apache/­doris/­wikibigchaindb.readthedocs.io/­en/­latestwww.claris.com/­resources/­documentationdocs.singlestore.com
DeveloperApache Software Foundation, originally contributed from BaiduClaris infoa subsidiary of AppleGeoSpockSingleStore Inc.
Initial release2017201619832013
Current release1.2.2, February 202319.4.1, November 20212.0, September 20198.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3commercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonJava, JavascriptC++, Go
Server operating systemsLinuxLinuxiOS infoclient part only
Linux
OS X
Windows
hostedLinux info64 bit version required
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyestemporal, categoricalyes
SQL infoSupport of SQLyesnoyes infovia pluginsANSI SQL for query only (using Presto)yes infobut no triggers and foreign keys
APIs and other access methodsJDBC
MySQL client
CLI Client
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
JDBCCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesJavaGo
Haskell
Java
JavaScript
Python
Ruby
PHPBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsyesnoyes
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneAutomatic shardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorSource-replica replication, warm standby infosince Version 14Source-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyessimple rights management via user accounts and connection to external directory servicesAccess rights for users can be defined per tableFine grained access control via users, groups and roles

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More resources
Apache DorisBigchainDBFileMakerGeoSpockSingleStore infoformer name was MemSQL
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