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DBMS > atoti vs. Coveo vs. EsgynDB vs. IBM Db2 Event Store

System Properties Comparison atoti vs. Coveo vs. EsgynDB vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonCoveo  Xexclude from comparisonEsgynDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDistributed Event Store optimized for Internet of Things use cases
Primary database modelObject oriented DBMSSearch engineRelational DBMSEvent Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score2.28
Rank#114  Overall
#11  Search engines
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websiteatoti.iowww.coveo.comwww.esgyn.cnwww.ibm.com/­products/­db2-event-store
Technical documentationdocs.atoti.iodocs.coveo.comwww.ibm.com/­docs/­en/­db2-event-store
DeveloperActiveViamCoveoEsgynIBM
Initial release201220152017
Current release2.0
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialcommercial infofree developer edition available
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 languageJavaC++, JavaC and C++
Server operating systemshostedLinuxLinux infoLinux, macOS, Windows for the developer addition
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyesyes infothrough the embedded Spark runtime
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresPythonnoJava Stored Proceduresyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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atotiCoveoEsgynDBIBM Db2 Event Store
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