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DBMS > AgensGraph vs. Apache Impala vs. IBM Db2 Event Store vs. InterSystems Caché

System Properties Comparison AgensGraph vs. Apache Impala vs. IBM Db2 Event Store vs. InterSystems Caché

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Impala  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAnalytic DBMS for HadoopDistributed Event Store optimized for Internet of Things use casesA multi-model DBMS and application server
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSEvent Store
Time Series DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Websitebitnine.net/­agensgraphimpala.apache.orgwww.ibm.com/­products/­db2-event-storewww.intersystems.com/­products/­cache
Technical documentationbitnine.net/­documentationimpala.apache.org/­impala-docs.htmlwww.ibm.com/­docs/­en/­db2-event-storedocs.intersystems.com
DeveloperBitnine Global Inc.Apache Software Foundation infoApache top-level project, originally developed by ClouderaIBMInterSystems
Initial release2016201320171997
Current release2.1, December 20184.1.0, June 20222.02018.1.4, May 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2commercial infofree developer edition availablecommercial
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 languageCC++C and C++
Server operating systemsLinux
OS X
Windows
LinuxLinux infoLinux, macOS, Windows for the developer additionAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelyesyesdepending on used data model
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.nononoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infothrough the embedded Spark runtimeyes
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
All languages supporting JDBC/ODBCC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
C++
Java
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyesyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorActive-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
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 dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardAccess rights for users, groups and roles

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More resources
AgensGraphApache ImpalaIBM Db2 Event StoreInterSystems Caché
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