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DBMS > Apache Phoenix vs. BigchainDB vs. Hazelcast vs. Ignite

System Properties Comparison Apache Phoenix vs. BigchainDB vs. Hazelcast vs. Ignite

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBigchainDB  Xexclude from comparisonHazelcast  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA widely adopted in-memory data gridApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelRelational DBMSDocument storeKey-value storeKey-value store
Relational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websitephoenix.apache.orgwww.bigchaindb.comhazelcast.comignite.apache.org
Technical documentationphoenix.apache.orgbigchaindb.readthedocs.io/­en/­latesthazelcast.org/­imdg/­docsapacheignite.readme.io/­docs
DeveloperApache Software FoundationHazelcastApache Software Foundation
Initial release2014201620082015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.3.6, November 2023Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonJavaC++, Java, .Net
Server operating systemsLinux
Unix
Windows
LinuxAll OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyes infothe object must implement a serialization strategyyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnoSQL-like query languageANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBCCLI Client
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsyes infoEvent Listeners, Executor Servicesyes (compute grid and cache interceptors can be used instead)
Triggersnoyes infoEventsyes (cache interceptors and events)
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 infoReplicated Mapyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes
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-tenancyyesRole-based access controlSecurity Hooks for custom implementations

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More resources
Apache PhoenixBigchainDBHazelcastIgnite
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