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DBMS > Apache Phoenix vs. HugeGraph vs. InfluxDB vs. Infobright vs. Sadas Engine

System Properties Comparison Apache Phoenix vs. HugeGraph vs. InfluxDB vs. Infobright vs. Sadas Engine

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHugeGraph  Xexclude from comparisonInfluxDB  Xexclude from comparisonInfobright  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA fast-speed and highly-scalable Graph DBMSDBMS for storing time series, events and metricsHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSGraph DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitephoenix.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.influxdata.com/­products/­influxdb-overviewignitetech.com/­softwarelibrary/­infobrightdbwww.sadasengine.com
Technical documentationphoenix.apache.orghugegraph.apache.org/­docsdocs.influxdata.com/­influxdbwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software FoundationBaiduIgnite Technologies Inc.; formerly InfoBright Inc.SADAS s.r.l.
Initial release20142018201320052006
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.92.7.6, April 20248.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial infofree trial version 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 languageJavaJavaGoCC++
Server operating systemsLinux
Unix
Windows
Linux
macOS
Unix
Linux
OS X infothrough Homebrew
Linux
Windows
AIX
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyesyes
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 indexesyesyes infoalso supports composite index and range indexnono infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLyesnoSQL-like query languageyesyes
APIs and other access methodsJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsasynchronous Gremlin script jobsnonono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoin enterprise version onlynonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infoin enterprise version onlySource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesyes infoDepending on used storage engineyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers, roles and permissionssimple rights management via user accountsfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Apache PhoenixHugeGraphInfluxDBInfobrightSadas Engine
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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