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DBMS > Dolt vs. HBase vs. Prometheus vs. Realm vs. Sqrrl

System Properties Comparison Dolt vs. HBase vs. Prometheus vs. Realm vs. Sqrrl

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonHBase  Xexclude from comparisonPrometheus  Xexclude from comparisonRealm  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaWide-column store based on Apache Hadoop and on concepts of BigTableOpen-source Time Series DBMS and monitoring systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSWide column storeTime Series DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
hbase.apache.orgprometheus.iorealm.iosqrrl.com
Technical documentationdocs.dolthub.comhbase.apache.org/­book.htmlprometheus.io/­docsrealm.io/­docs
DeveloperDoltHub IncApache Software Foundation infoApache top-level project, originally developed by PowersetRealm, acquired by MongoDB in May 2019Amazon infooriginally Sqrrl Data, Inc.
Initial release20182008201520142012
Current release2.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaGoJava
Server operating systemsLinux
macOS
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Windows
Android
Backend: server-less
iOS
Windows
Linux
Data schemeyesschema-free, schema definition possibleyesyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVRONumeric data onlyyesyes
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 infoImport of XML data possibleno
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLyesnononono
APIs and other access methodsCLI Client
HTTP REST
Java API
RESTful HTTP API
Thrift
RESTful HTTP/JSON APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyes infoCoprocessors in Javanono inforuns within the applications so server-side scripts are unnecessaryno
Triggersyesyesnoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneSharding infomaking use of Hadoop
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.Multi-source replication
Source-replica replication
yes infoby Federationnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyes infoIn-Memory realm
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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DoltHBasePrometheusRealmSqrrl
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