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DBMS > Dolt vs. etcd vs. EXASOL vs. HBase vs. Heroic

System Properties Comparison Dolt vs. etcd vs. EXASOL vs. HBase vs. Heroic

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonetcd  Xexclude from comparisonEXASOL  Xexclude from comparisonHBase  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaA distributed reliable key-value storeHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Wide-column store based on Apache Hadoop and on concepts of BigTableTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMSKey-value storeRelational DBMSWide column storeTime Series DBMS
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
Score7.03
Rank#54  Overall
#5  Key-value stores
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
etcd.io
github.com/­etcd-io/­etcd
www.exasol.comhbase.apache.orggithub.com/­spotify/­heroic
Technical documentationdocs.dolthub.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.exasol.com/­resourceshbase.apache.org/­book.htmlspotify.github.io/­heroic
DeveloperDoltHub IncExasolApache Software Foundation infoApache top-level project, originally developed by PowersetSpotify
Initial release2018200020082014
Current release3.4, August 20192.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache version 2Open Source infoApache 2.0
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 languageGoGoJavaJava
Server operating systemsLinux
macOS
Windows
FreeBSD
Linux
Windows infoexperimental
Linux
Unix
Windows infousing Cygwin
Data schemeyesschema-freeyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesnoyesoptions to bring your own types, AVROyes
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.nonononono
Secondary indexesyesnoyesnoyes infovia Elasticsearch
SQL infoSupport of SQLyesnoyesnono
APIs and other access methodsCLI Client
HTTP REST
gRPC
JSON over HTTP
.Net
JDBC
ODBC
WebSocket
Java API
RESTful HTTP API
Thrift
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Java
Lua
Python
R
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenouser defined functionsyes infoCoprocessors in Javano
Triggersyesyes, watching key changesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
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.Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDSingle row ACID (across millions of columns)no
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.noyesyesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupnoAccess rights for users, groups and roles according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
DoltetcdEXASOLHBaseHeroic
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