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DBMS > Apache Phoenix vs. EsgynDB vs. Google Cloud Bigtable vs. JSqlDb vs. Oracle Berkeley DB

System Properties Comparison Apache Phoenix vs. EsgynDB vs. Google Cloud Bigtable vs. JSqlDb vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonJSqlDb  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.JavaScript Query Language Database, stores JavaScript objects and primitivesWidely used in-process key-value store
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Document store
Object oriented DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitephoenix.apache.orgwww.esgyn.cncloud.google.com/­bigtablejsqldb.org (offline)www.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationphoenix.apache.orgcloud.google.com/­bigtable/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperApache Software FoundationEsgynGoogleKonrad von BackstromOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20142015201520181994
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.8, December 201818.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen SourceOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, JavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
Unix
Windows
LinuxhostedLinux
macOS
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnonono
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.nonononoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLyesyesnonoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsJava Stored Proceduresnofunctions in JavaScriptno
Triggersnonononoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Apache PhoenixEsgynDBGoogle Cloud BigtableJSqlDbOracle Berkeley DB
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