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DBMS > atoti vs. Bangdb vs. Databricks vs. MonetDB

System Properties Comparison atoti vs. Bangdb vs. Databricks vs. MonetDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBangdb  Xexclude from comparisonDatabricks  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Converged and high performance database for device data, events, time series, document and graphThe 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.A relational database management system that stores data in columns
Primary database modelObject oriented DBMSDocument store
Graph DBMS
Time Series DBMS
Document store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Websiteatoti.iobangdb.comwww.databricks.comwww.monetdb.org
Technical documentationdocs.atoti.iodocs.bangdb.comdocs.databricks.comwww.monetdb.org/­Documentation
DeveloperActiveViamSachin Sinha, BangDBDatabricksMonetDB BV
Initial release201220132004
Current releaseBangDB 2.0, October 2021Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoBSD 3commercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes
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.noyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL like support with command line toolwith Databricks SQLyes infoSQL 2003 with some extensions
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC
C#
C++
Java
Python
Python
R
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresPythonnouser defined functions and aggregatesyes, in SQL, C, R
Triggersyes, Notifications (with Streaming only)yes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeno
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standard
More information provided by the system vendor
atotiBangdbDatabricksMonetDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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atotiBangdbDatabricksMonetDB
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