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DBMS > atoti vs. Databricks vs. Geode vs. MonetDB

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

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatabricks  Xexclude from comparisonGeode  Xexclude from comparisonMonetDB  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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA relational database management system that stores data in columns
Primary database modelObject oriented DBMSDocument store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websiteatoti.iowww.databricks.comgeode.apache.orgwww.monetdb.org
Technical documentationdocs.atoti.iodocs.databricks.comgeode.apache.org/­docswww.monetdb.org/­Documentation
DeveloperActiveViamDatabricksOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.MonetDB BV
Initial release201320022004
Current release1.1, February 2017Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredFreeBSD
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
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.yesno
Secondary indexesyesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)with Databricks SQLSQL-like query language (OQL)yes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesPython
R
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresPythonuser defined functions and aggregatesuser defined functionsyes, in SQL, C, R
Triggersyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnone 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 systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesnoyes
User concepts infoAccess controlAccess rights per client and object definablefine grained access rights according to SQL-standard
More information provided by the system vendor
atotiDatabricksGeodeMonetDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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atotiDatabricksGeodeMonetDB
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