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DBMS > AgensGraph vs. Apache IoTDB vs. Apache Phoenix vs. Graphite vs. Ignite

System Properties Comparison AgensGraph vs. Apache IoTDB vs. Apache Phoenix vs. Graphite vs. Ignite

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache IoTDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGraphite  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA scale-out RDBMS with evolutionary schema built on Apache HBaseData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperApache 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 modelGraph DBMS
Relational DBMS
Time Series DBMSRelational DBMSTime Series DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websitebitnine.net/­agensgraphiotdb.apache.orgphoenix.apache.orggithub.com/­graphite-project/­graphite-webignite.apache.org
Technical documentationbitnine.net/­documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlphoenix.apache.orggraphite.readthedocs.ioapacheignite.readme.io/­docs
DeveloperBitnine Global Inc.Apache Software FoundationApache Software FoundationChris DavisApache Software Foundation
Initial release20162018201420062015
Current release2.1, December 20181.1.0, April 20235.0-HBase2, July 2018 and 4.15-HBase1, December 2019Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 2.0
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 languageCJavaJavaPythonC++, Java, .Net
Server operating systemsLinux
OS X
Windows
All OS with a Java VM (>= 1.8)Linux
Unix
Windows
Linux
Unix
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelyesyes infolate-bound, schema-on-read capabilitiesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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.nonononoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesSQL-like query languageyesnoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsCypher Query Language
JDBC
JDBC
Native API
JDBCHTTP API
Sockets
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Go
Java
Python
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyesuser defined functionsnoyes (compute grid and cache interceptors can be used instead)
Triggersnoyesnonoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
noneyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and SparkHadoop integrationnoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolockingyes
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.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoSecurity Hooks for custom implementations

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AgensGraphApache IoTDBApache PhoenixGraphiteIgnite
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