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DBMS > Dolt vs. FileMaker vs. HarperDB vs. SingleStore

System Properties Comparison Dolt vs. FileMaker vs. HarperDB vs. SingleStore

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonFileMaker  Xexclude from comparisonHarperDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaFileMaker is a cross-platform RDBMS that includes a GUI frontend.HarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.MySQL 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 DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.93
Rank#194  Overall
#90  Relational DBMS
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.claris.com/­filemakerwww.harperdb.iowww.singlestore.com
Technical documentationdocs.dolthub.comwww.claris.com/­resources/­documentationdocs.harperdb.io/­docsdocs.singlestore.com
DeveloperDoltHub IncClaris infoa subsidiary of AppleHarperDBSingleStore Inc.
Initial release2018198320172013
Current release19.4.1, November 20213.1, August 20218.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree community edition availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoNode.jsC++, Go
Server operating systemsLinux
macOS
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Linux info64 bit version required
Data schemeyesyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes
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.noyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infovia pluginsSQL-like data manipulation statementsyes infobut no triggers and foreign keys
APIs and other access methodsCLI Client
HTTP REST
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
PHP.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyesCustom Functions infosince release 3.1yes
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneA table resides as a whole on one (or more) nodes in a clusterSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Source-replica replication, warm standby infosince Version 14yes infothe nodes on which a table resides can be definedSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes, using LMDByes 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.yesyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupsimple rights management via user accounts and connection to external directory servicesAccess rights for users and rolesFine grained access control via users, groups and roles

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More resources
DoltFileMakerHarperDBSingleStore infoformer name was MemSQL
DB-Engines blog posts

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9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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