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DBMS > EXASOL vs. IBM Cloudant vs. JaguarDB vs. Vertica

System Properties Comparison EXASOL vs. IBM Cloudant vs. JaguarDB vs. Vertica

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonJaguarDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Database as a Service offering based on Apache CouchDBPerformant, highly scalable DBMS for AI and IoT applicationsColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSDocument storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.81
Rank#88  Overall
#47  Relational DBMS
Score3.71
Rank#89  Overall
#15  Document stores
Score0.00
Rank#348  Overall
#55  Key-value stores
Score20.31
Rank#35  Overall
#21  Relational DBMS
Websitewww.exasol.comwww.ibm.com/­cloud/­cloudantwww.datajaguar.comwww.vertica.com
Technical documentationwww.exasol.com/­resourcescloud.ibm.com/­docs/­Cloudantwww.datajaguar.com/­support.phpwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperExasolIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014DataJaguar, Inc.Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release2000201020152005
Current release2.9.4 September 2018Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesnono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++ infothe server part. Clients available in other languages
Server operating systemshostedLinuxLinux
Data schemeyesschema-freeyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononoyes
Secondary indexesyesyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP/JSON APIJDBC
ODBC
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsView functions (Map-Reduce) in JavaScriptnoyes
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyesnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per databaserights management via user accountsfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
EXASOLIBM CloudantJaguarDBVertica infoVertica Analytics Platform
Specific characteristicsSQL support, group by, order by, time-series data auto-aggregation
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosIoT data, time series data, geospatial data, AI data. Any type of numerical data.
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersQuantea, 2PiDay, Synqy, IIVI
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more
Cost-based models and subscription-based models are available
» more

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More resources
EXASOLIBM CloudantJaguarDBVertica infoVertica Analytics Platform
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