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DBMS > Apache Phoenix vs. BoltDB vs. Databricks vs. EDB Postgres vs. Yanza

System Properties Comparison Apache Phoenix vs. BoltDB vs. Databricks vs. EDB Postgres vs. Yanza

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBoltDB  Xexclude from comparisonDatabricks  Xexclude from comparisonEDB Postgres  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 HBaseAn embedded key-value store for Go.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Time Series DBMS for IoT Applications
Primary database modelRelational DBMSKey-value storeDocument store
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.90
Rank#135  Overall
#63  Relational DBMS
Websitephoenix.apache.orggithub.com/­boltdb/­boltwww.databricks.comwww.enterprisedb.comyanza.com
Technical documentationphoenix.apache.orgdocs.databricks.comwww.enterprisedb.com/­docs
DeveloperApache Software FoundationDatabricksEnterpriseDBYanza
Initial release20142013201320052015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201914, December 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT Licensecommercialcommercial infoBSD for PostgreSQL-componentscommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono 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
BSD
Linux
OS X
Solaris
Windows
hostedLinux
Windows
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nonoyesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyesnowith Databricks SQLyes infostandard with numerous extensionsno
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
GoPython
R
Scala
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions and aggregatesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnonoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoby hash, list or rangenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.yesnonono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynofine grained access rights according to SQL-standardno
More information provided by the system vendor
Apache PhoenixBoltDBDatabricksEDB PostgresYanza
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache PhoenixBoltDBDatabricksEDB PostgresYanza
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