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DBMS > Databricks vs. Hyprcubd vs. Kyligence Enterprise vs. OushuDB

System Properties Comparison Databricks vs. Hyprcubd vs. Kyligence Enterprise vs. OushuDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHyprcubd  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonOushuDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Serverless Time Series DBMSA distributed analytics engine for big data, built on top of Apache KylinA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Websitewww.databricks.comhyprcubd.com (offline)kyligence.io/­kyligence-enterprisewww.oushu.com/­product/­oushuDB
Technical documentationdocs.databricks.comwww.oushu.com/­documentation
DeveloperDatabricksHyprcubd, Inc.Kyligence, Inc.Oushu
Initial release20132016
Current release4.0.1, August 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava
Server operating systemshostedhostedLinuxLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyes
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.yesnono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query languageANSI SQL for queries (using Apache Calcite)Full-featured ANSI SQL support
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (https)JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesPython
R
Scala
C
C++
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
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.nonono
User concepts infoAccess controltoken accessKerberos, SSL and role based access
More information provided by the system vendor
DatabricksHyprcubdKyligence EnterpriseOushuDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksHyprcubdKyligence EnterpriseOushuDB
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