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DBMS > Apache Kylin vs. Hypertable vs. Immudb vs. OpenMLDB

System Properties Comparison Apache Kylin vs. Hypertable vs. Immudb vs. OpenMLDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonHypertable  Xexclude from comparisonImmudb  Xexclude from comparisonOpenMLDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAn open source BigTable implementation based on distributed file systems such as HadoopAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.An open-source machine learning database that provides a feature platform for training and inference
Primary database modelRelational DBMSWide column storeKey-value storeTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#171  Overall
#77  Relational DBMS
Score0.24
Rank#295  Overall
#42  Key-value stores
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Websitekylin.apache.orggithub.com/­codenotary/­immudb
immudb.io
openmldb.ai
Technical documentationkylin.apache.org/­docsdocs.immudb.ioopenmldb.ai/­docs/­zh/­main
DeveloperApache Software Foundation, originally contributed from eBay IncHypertable Inc.Codenotary4 Paradigm Inc.
Initial release2015200920202020
Current release3.1.0, July 20200.9.8.11, March 20161.2.3, April 20222024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++GoC++, Java, Scala
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
BSD
Linux
macOS
Solaris
Windows
z/OS
Linux
Data schemeyesschema-freeschema-freeFixed schema
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noSQL-like syntaxyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
C++ API
Thrift
gRPC protocol
PostgreSQL wire protocol
JDBC
SQLAlchemy
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
Apache KylinHypertableImmudbOpenMLDB
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