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DBMS > EXASOL vs. HugeGraph vs. KairosDB vs. RavenDB vs. VoltDB

System Properties Comparison EXASOL vs. HugeGraph vs. KairosDB vs. RavenDB vs. VoltDB

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonHugeGraph  Xexclude from comparisonKairosDB  Xexclude from comparisonRavenDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A fast-speed and highly-scalable Graph DBMSDistributed Time Series DBMS based on Cassandra or H2Open Source Operational and Transactional Enterprise NoSQL Document DatabaseDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSGraph DBMSTime Series DBMSDocument storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.exasol.comgithub.com/­hugegraph
hugegraph.apache.org
github.com/­kairosdb/­kairosdbravendb.netwww.voltdb.com
Technical documentationwww.exasol.com/­resourceshugegraph.apache.org/­docskairosdb.github.ioravendb.net/­docsdocs.voltdb.com
DeveloperExasolBaiduHibernating RhinosVoltDB Inc.
Initial release20002018201320102010
Current release0.91.2.2, November 20185.4, July 202211.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#Java, C++
Server operating systemsLinux
macOS
Unix
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X infofor development
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonono
Secondary indexesyesyes infoalso supports composite index and range indexnoyesyes
SQL infoSupport of SQLyesnonoSQL-like query language (RQL)yes infoonly a subset of SQL 99
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
Graphite protocol
HTTP REST
Telnet API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesJava
Lua
Python
R
Groovy
Java
Python
Java
JavaScript infoNode.js
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsasynchronous Gremlin script jobsnoyesJava
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infobased on CassandraMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationvia hugegraph-sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesyes infoedges in graphnonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID, Cluster-wide transaction availableACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardUsers, roles and permissionssimple password-based access controlAuthorization levels configured per client per databaseUsers and roles with access to stored procedures

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More resources
EXASOLHugeGraphKairosDBRavenDBVoltDB
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