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DBMS > Apache Drill vs. IBM Db2 Event Store vs. Kingbase

System Properties Comparison Apache Drill vs. IBM Db2 Event Store vs. Kingbase

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKingbase  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageDistributed Event Store optimized for Internet of Things use casesAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelDocument store
Relational DBMS
Event Store
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Websitedrill.apache.orgwww.ibm.com/­products/­db2-event-storewww.kingbase.com.cn
Technical documentationdrill.apache.org/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperApache Software FoundationIBMBeiJing KINGBASE Information technologies inc.
Initial release201220171999
Current release1.20.3, January 20232.0V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C and Java
Server operating systemsLinux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
Windows
Data schemeschema-freeyesyes
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.nonoyes
Secondary indexesnonoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyes infothrough the embedded Spark runtimeStandard with numerous extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesC++C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
Durability infoSupport for making data persistentDepending on the underlying data sourceYes - 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.Depending on the underlying data sourceyes
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache DrillIBM Db2 Event StoreKingbase
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