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DBMS > Coveo vs. eXtremeDB vs. Microsoft Azure Table Storage vs. Sadas Engine

System Properties Comparison Coveo vs. eXtremeDB vs. Microsoft Azure Table Storage vs. Sadas Engine

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisoneXtremeDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentNatively in-memory DBMS with options for persistency, high-availability and clusteringA Wide Column Store for rapid development using massive semi-structured datasetsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelSearch engineRelational DBMS
Time Series DBMS
Wide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitewww.coveo.comwww.mcobject.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.sadasengine.com
Technical documentationdocs.coveo.comwww.mcobject.com/­docs/­extremedb.htmwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperCoveoMcObjectMicrosoftSADAS s.r.l.
Initial release2012200120122006
Current release8.2, 20218.0
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++
Server operating systemshostedAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedAIX
Linux
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono infosupport of XML interfaces availablenono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLnoyes
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Java
JavaScript
Python
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesnono
Triggersyesyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning / shardingSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.yesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlgranular access controls, API key management, content filtersAccess rights based on private key authentication or shared access signaturesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
CoveoeXtremeDBMicrosoft Azure Table StorageSadas Engine
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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CoveoeXtremeDBMicrosoft Azure Table StorageSadas Engine
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