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DBMS > atoti vs. Databricks vs. Hyprcubd vs. searchxml

System Properties Comparison atoti vs. Databricks vs. Hyprcubd vs. searchxml

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatabricks  Xexclude from comparisonHyprcubd  Xexclude from comparisonsearchxml  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.The 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 DBMSDBMS for structured and unstructured content wrapped with an application server
Primary database modelObject oriented DBMSDocument store
Relational DBMS
Time Series DBMSNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websiteatoti.iowww.databricks.comhyprcubd.com (offline)www.searchxml.net/­category/­products
Technical documentationdocs.atoti.iodocs.databricks.comwww.searchxml.net/­support/­handouts
DeveloperActiveViamDatabricksHyprcubd, Inc.informationpartners gmbh
Initial release20132015
Current release1.0
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++
Server operating systemshostedhostedWindows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyes
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.yesnoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)with Databricks SQLSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (https)RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesPython
R
Scala
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresPythonuser defined functions and aggregatesnoyes infoon the application server
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesnoyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controltoken accessDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
atotiDatabricksHyprcubdsearchxml
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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atotiDatabricksHyprcubdsearchxml
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