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DBMS > Apache Phoenix vs. Axibase vs. Badger vs. Faircom EDGE vs. HEAVY.AI

System Properties Comparison Apache Phoenix vs. Axibase vs. Badger vs. Faircom EDGE vs. HEAVY.AI

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonAxibase  Xexclude from comparisonBadger  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMSTime Series DBMSKey-value storeKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Websitephoenix.apache.orgaxibase.com/­docs/­atsd/­financegithub.com/­dgraph-io/­badgerwww.faircom.com/­products/­faircom-edgegithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationphoenix.apache.orggodoc.org/­github.com/­dgraph-io/­badgerdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.heavy.ai
DeveloperApache Software FoundationAxibase CorporationDGraph LabsFairCom CorporationHEAVY.AI, Inc.
Initial release20142013201719792016
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201915585V3, October 20205.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache 2.0commercial infoRestricted, free version availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGoANSI C, C++C++ and CUDA
Server operating systemsLinux
Unix
Windows
LinuxBSD
Linux
OS X
Solaris
Windows
Android
Linux infoARM, x86
Raspbian
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringnoyes, ANSI Standard SQL Typesyes
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 indexesyesnonoyesno
SQL infoSupport of SQLyesSQL-like query languagenoyes infoANSI SQL queriesyes
APIs and other access methodsJDBCJDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
PHP
Python
R
Ruby
GoC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functionsyesnoyes info.Net, JavaScript, C/C++no
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneFile partitioning infoCustomizable business rules for partitioningSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoacross SQL and NoSQLyes
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.yesnoyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standard

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More resources
Apache PhoenixAxibaseBadgerFaircom EDGE infoformerly c-treeEDGEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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