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DBMS > Apache Phoenix vs. BigchainDB vs. Firebase Realtime Database vs. Ignite vs. VelocityDB

System Properties Comparison Apache Phoenix vs. BigchainDB vs. Firebase Realtime Database vs. Ignite vs. VelocityDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBigchainDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIgnite  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSDocument storeDocument storeKey-value store
Relational DBMS
Graph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score13.64
Rank#39  Overall
#6  Document stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitephoenix.apache.orgwww.bigchaindb.comfirebase.google.com/­products/­realtime-databaseignite.apache.orgvelocitydb.com
Technical documentationphoenix.apache.orgbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­databaseapacheignite.readme.io/­docsvelocitydb.com/­UserGuide
DeveloperApache Software FoundationGoogle infoacquired by Google 2014Apache Software FoundationVelocityDB Inc
Initial release20142016201220152011
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019Apache Ignite 2.67.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC++, Java, .NetC#
Server operating systemsLinux
Unix
Windows
LinuxhostedLinux
OS X
Solaris
Windows
Any that supports .NET
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nononoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnonoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBCCLI Client
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.Net
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
Java
JavaScript
Objective-C
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Server-side scripts infoStored proceduresuser defined functionslimited functionality with using 'rules'yes (compute grid and cache interceptors can be used instead)no
TriggersnoCallbacks are triggered when data changesyes (cache interceptors and events)Callbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyesyes, based on authentication and database rulesSecurity Hooks for custom implementationsBased on Windows Authentication

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More resources
Apache PhoenixBigchainDBFirebase Realtime DatabaseIgniteVelocityDB
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