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DBMS > Apache Phoenix vs. Fauna vs. Google Cloud Bigtable vs. LokiJS vs. Oracle Coherence

System Properties Comparison Apache Phoenix vs. Fauna vs. Google Cloud Bigtable vs. LokiJS vs. Oracle Coherence

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonLokiJS  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.In-memory JavaScript DBMSOracles in-memory data grid solution
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value store
Wide column store
Document storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.43
Rank#264  Overall
#42  Document stores
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitephoenix.apache.orgfauna.comcloud.google.com/­bigtablegithub.com/­techfort/­LokiJSwww.oracle.com/­java/­coherence
Technical documentationphoenix.apache.orgdocs.fauna.comcloud.google.com/­bigtable/­docstechfort.github.io/­LokiJSdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software FoundationFauna, Inc.GoogleOracle
Initial release20142014201520142007
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201914.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaJavaScriptJava
Server operating systemsLinux
Unix
Windows
hostedhostedserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnononoyes
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.nonononono
Secondary indexesyesyesnoyes infovia viewsno
SQL infoSupport of SQLyesnononono
APIs and other access methodsJDBCRESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JavaScript APIJCache
JPA
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript.Net
C++
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoView functions in JavaScriptno
Triggersnononoyesyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesyesno
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)noneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsno infoatomic operations within a single collection possibleconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyIdentity management, authentication, and access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noauthentification to access the cache via certificates or http basic authentication

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More resources
Apache PhoenixFauna infopreviously named FaunaDBGoogle Cloud BigtableLokiJSOracle Coherence
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