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DBMS > atoti vs. Databricks vs. UniData,UniVerse

System Properties Comparison atoti vs. Databricks vs. UniData,UniVerse

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatabricks  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
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.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelObject oriented DBMSDocument store
Relational DBMS
Multivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websiteatoti.iowww.databricks.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.atoti.iodocs.databricks.comdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperActiveViamDatabricksRocket Software
Initial release20131985
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateoptional
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.yes
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)with Databricks SQLyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesPython
R
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresPythonuser defined functions and aggregatesyes
Triggersyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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.yesno
User concepts infoAccess controlAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
atotiDatabricksUniData,UniVerse
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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atotiDatabricksUniData,UniVerse
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