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

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

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonApache Phoenix  Xexclude from comparisonBigchainDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA 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.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSDocument storeDocument storeGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score13.64
Rank#39  Overall
#6  Document stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitekylin.apache.orgphoenix.apache.orgwww.bigchaindb.comfirebase.google.com/­products/­realtime-databasevelocitydb.com
Technical documentationkylin.apache.org/­docsphoenix.apache.orgbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­databasevelocitydb.com/­UserGuide
DeveloperApache Software Foundation, originally contributed from eBay IncApache Software FoundationGoogle infoacquired by Google 2014VelocityDB Inc
Initial release20152014201620122011
Current release3.1.0, July 20205.0-HBase2, July 2018 and 4.15-HBase1, December 20197.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoAGPL v3commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaPythonC#
Server operating systemsLinuxLinux
Unix
Windows
LinuxhostedAny that supports .NET
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCCLI Client
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
.Net
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
Java
JavaScript
Objective-C
.Net
Server-side scripts infoStored proceduresuser defined functionslimited functionality with using 'rules'no
TriggersnoCallbacks are triggered when data changesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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 rulesBased on Windows Authentication

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More resources
Apache KylinApache PhoenixBigchainDBFirebase Realtime DatabaseVelocityDB
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