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DBMS > Apache Phoenix vs. Dolt vs. etcd vs. FatDB vs. Oracle Coherence

System Properties Comparison Apache Phoenix vs. Dolt vs. etcd vs. FatDB vs. Oracle Coherence

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDolt  Xexclude from comparisonetcd  Xexclude from comparisonFatDB  Xexclude from comparisonOracle Coherence  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA MySQL compatible DBMS with Git-like versioning of data and schemaA distributed reliable key-value storeA .NET NoSQL DBMS that can integrate with and extend SQL Server.Oracles in-memory data grid solution
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument store
Key-value store
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score1.97
Rank#129  Overall
#22  Key-value stores
Websitephoenix.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
etcd.io
github.com/­etcd-io/­etcd
www.oracle.com/­java/­coherence
Technical documentationphoenix.apache.orgdocs.dolthub.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software FoundationDoltHub IncFatCloudOracle
Initial release2014201820122007
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.4, August 201914.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercial
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 languageJavaGoGoC#Java
Server operating systemsLinux
Unix
Windows
Linux
macOS
Windows
FreeBSD
Linux
Windows infoexperimental
WindowsAll OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyesyesnono infoVia inetgration in SQL Serverno
APIs and other access methodsJDBCCLI Client
HTTP REST
gRPC
JSON over HTTP
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JCache
JPA
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Ada
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
C#.Net
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyes infocurrently in alpha releasenoyes infovia applicationsno
Triggersnoyesyes, watching key changesyes infovia applicationsyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
A 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.selectable replication factoryes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyOnly one user is configurable, and must be specified in the config file at startupnono infoCan implement custom security layer via applicationsauthentification to access the cache via certificates or http basic authentication

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More resources
Apache PhoenixDoltetcdFatDBOracle Coherence
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