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DBMS > atoti vs. H2 vs. Kyligence Enterprise

System Properties Comparison atoti vs. H2 vs. Kyligence Enterprise

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonH2  Xexclude from comparisonKyligence Enterprise  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Websiteatoti.iowww.h2database.comkyligence.io/­kyligence-enterprise
Technical documentationdocs.atoti.iowww.h2database.com/­html/­main.html
DeveloperActiveViamThomas MuellerKyligence, Inc.
Initial release20052016
Current release2.2.220, July 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsAll OS with a Java VMLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesANSI SQL for queries (using Apache Calcite)
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
Server-side scripts infoStored proceduresPythonJava Stored Procedures and User-Defined Functions
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
atotiH2Kyligence Enterprise
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