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DBMS > Apache Phoenix vs. EsgynDB vs. Google Cloud Spanner vs. Realm vs. STSdb

System Properties Comparison Apache Phoenix vs. EsgynDB vs. Google Cloud Spanner vs. Realm vs. STSdb

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonRealm  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeKey-value store
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
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitephoenix.apache.orgwww.esgyn.cncloud.google.com/­spannerrealm.iogithub.com/­STSSoft/­STSdb4
Technical documentationphoenix.apache.orgcloud.google.com/­spanner/­docsrealm.io/­docs
DeveloperApache Software FoundationEsgynGoogleRealm, acquired by MongoDB in May 2019STS Soft SC
Initial release20142015201720142011
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20194.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen SourceOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaC#
Server operating systemsLinux
Unix
Windows
LinuxhostedAndroid
Backend: server-less
iOS
Windows
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoprimitive types and user defined types (classes)
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 indexesyesyesyesyesno
SQL infoSupport of SQLyesyesyes infoQuery statements complying to ANSI 2011nono
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
.NET Client API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetGo
Java
JavaScript (Node.js)
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
Java
Server-side scripts infoStored proceduresuser defined functionsJava Stored Proceduresnono inforuns within the applications so server-side scripts are unnecessaryno
Triggersnononoyes infoChange Listenersno
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 datacentersMulti-source replication with 3 replicas for regional instances.nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoStrict serializable isolationACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnonoyes infoIn-Memory realm
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)yesno

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Apache PhoenixEsgynDBGoogle Cloud SpannerRealmSTSdb
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