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DBMS > EXASOL vs. Microsoft Azure Data Explorer vs. RavenDB vs. VoltDB

System Properties Comparison EXASOL vs. Microsoft Azure Data Explorer vs. RavenDB vs. VoltDB

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonRavenDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Fully managed big data interactive analytics platformOpen 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 DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsGraph DBMS infoexperimental
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#89  Overall
#44  Relational DBMS
Score2.66
Rank#97  Overall
#48  Relational DBMS
Score3.82
Rank#78  Overall
#13  Document stores
Score1.78
Rank#123  Overall
#59  Relational DBMS
Websitewww.exasol.com/­en/­productsazure.microsoft.com/­services/­data-explorerravendb.netwww.voltdb.com
Technical documentationwww.exasol.com/­en/­community/­resourcesdocs.microsoft.com/­en-us/­azure/­data-explorerravendb.net/­docsdocs.voltdb.com
DeveloperExasolMicrosoftHibernating RhinosVoltDB Inc.
Initial release2000201920102010
Current release4.2, May 20199.0, April 2019
License infoCommercial or Open SourcecommercialcommercialOpen 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 servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Java, C++
Server operating systemshostedLinux
macOS
Raspberry Pi
Windows
Linux
OS X infofor development
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesKusto Query Language (KQL), SQL subsetSQL-like query language (RQL)yes infoonly a subset of SQL 99
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesJava
Lua
Python
R
.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsYes. Languages: KQL, Python, RyesJava
TriggersyesTable-level update policy rules can be used to automatically run a query and ingest its results when data is ingested into another table.yesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-master replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyes infoMapReduce functions can be defined in Linqno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction availableACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAzure Active Directory AuthenticationAccess control on document level using the Authorization BundleUsers and roles with access to stored procedures

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More resources
EXASOLMicrosoft Azure Data ExplorerRavenDBVoltDB
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