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DBMS > AlaSQL vs. Apache Druid vs. IBM Db2 Event Store vs. openGauss vs. Trafodion

System Properties Comparison AlaSQL vs. Apache Druid vs. IBM Db2 Event Store vs. openGauss vs. Trafodion

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Druid  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonopenGauss  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionJavaScript DBMS libraryOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed Event Store optimized for Internet of Things use casesAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMS
Time Series DBMS
Event Store
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Websitealasql.orgdruid.apache.orgwww.ibm.com/­products/­db2-event-storegitee.com/­opengauss
opengauss.org
trafodion.apache.org
Technical documentationgithub.com/­AlaSQL/­alasqldruid.apache.org/­docs/­latest/­designwww.ibm.com/­docs/­en/­db2-event-storedocs.opengauss.org/­en
gitee.com/­opengauss/­docs
trafodion.apache.org/­documentation.html
DeveloperAndrey Gershun & Mathias R. WulffApache Software Foundation and contributorsIBMHuawei and openGauss communityApache Software Foundation, originally developed by HP
Initial release20142012201720192014
Current release29.0.1, April 20242.03.0, March 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache license v2commercial infofree developer edition availableOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaC and C++C, C++, JavaC++, Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
Linux infoLinux, macOS, Windows for the developer additionLinuxLinux
Data schemeschema-freeyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonononono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL for queryingyes infothrough the embedded Spark runtimeANSI SQL 2011yes
APIs and other access methodsJavaScript APIJDBC
RESTful HTTP/JSON API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesJavaScriptClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Java
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoyesyesJava Stored Procedures
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedShardinghorizontal partitioning (by range, list and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, via HDFS, S3 or other storage enginesActive-active shard replicationSource-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesYes - 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.yesnoyesnono
User concepts infoAccess controlnoRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AlaSQLApache DruidIBM Db2 Event StoreopenGaussTrafodion
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