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DBMS > Apache Phoenix vs. Dolt vs. EventStoreDB vs. Ingres vs. Yanza

System Properties Comparison Apache Phoenix vs. Dolt vs. EventStoreDB vs. Ingres vs. Yanza

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDolt  Xexclude from comparisonEventStoreDB  Xexclude from comparisonIngres  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA MySQL compatible DBMS with Git-like versioning of data and schemaIndustrial-strength, open-source database solution built from the ground up for event sourcing.Well established RDBMSTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSEvent StoreRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websitephoenix.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
www.eventstore.comwww.actian.com/­databases/­ingresyanza.com
Technical documentationphoenix.apache.orgdocs.dolthub.comdevelopers.eventstore.comdocs.actian.com/­ingres
DeveloperApache Software FoundationDoltHub IncEvent Store LimitedActian CorporationYanza
Initial release2014201820121974 infooriginally developed at University Berkely in early 1970s2015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201921.2, February 202111.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Sourcecommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC
Server operating systemsLinux
Unix
Windows
Linux
macOS
Windows
Linux
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsJDBCCLI Client
HTTP REST
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
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
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsyes infocurrently in alpha releaseyesno
Triggersnoyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
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.Ingres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
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 startupfine grained access rights according to SQL-standardno

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More resources
Apache PhoenixDoltEventStoreDBIngresYanza
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