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DBMS > atoti vs. IBM Db2 Event Store vs. Prometheus vs. TigerGraph

System Properties Comparison atoti vs. IBM Db2 Event Store vs. Prometheus vs. TigerGraph

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPrometheus  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Distributed Event Store optimized for Internet of Things use casesOpen-source Time Series DBMS and monitoring systemA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelObject oriented DBMSEvent Store
Time Series DBMS
Time Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteatoti.iowww.ibm.com/­products/­db2-event-storeprometheus.iowww.tigergraph.com
Technical documentationdocs.atoti.iowww.ibm.com/­docs/­en/­db2-event-storeprometheus.io/­docsdocs.tigergraph.com
DeveloperActiveViamIBM
Initial release201720152017
Current release2.0
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infofree developer edition availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++GoC++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesnono
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infothrough the embedded Spark runtimenoSQL-like query language (GSQL)
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresPythonyesnoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencynone
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)No - written data is immutableyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole-based access control

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More resources
atotiIBM Db2 Event StorePrometheusTigerGraph
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