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DBMS > ArcadeDB vs. Graphite vs. Hypertable vs. Ignite vs. Tkrzw

System Properties Comparison ArcadeDB vs. Graphite vs. Hypertable vs. Ignite vs. Tkrzw

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonGraphite  Xexclude from comparisonHypertable  Xexclude from comparisonIgnite  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperAn open source BigTable implementation based on distributed file systems such as HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Time Series DBMSWide column storeKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitearcadedb.comgithub.com/­graphite-project/­graphite-webignite.apache.orgdbmx.net/­tkrzw
Technical documentationdocs.arcadedb.comgraphite.readthedocs.ioapacheignite.readme.io/­docs
DeveloperArcade DataChris DavisHypertable Inc.Apache Software FoundationMikio Hirabayashi
Initial release20212006200920152020
Current releaseSeptember 20210.9.8.11, March 2016Apache Ignite 2.60.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC++C++, Java, .NetC++
Server operating systemsAll OS with a Java VMLinux
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlynoyesno
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.nonoyesno
Secondary indexesyesnorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL-like query language, no joinsnonoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
HTTP API
Sockets
C++ API
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesJavaJavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)no
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneselectable replication factor on file system levelyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
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.yesyes infousing specific database classes
User concepts infoAccess controlnonoSecurity Hooks for custom implementationsno

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More resources
ArcadeDBGraphiteHypertableIgniteTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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