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DBMS > Databricks vs. InfinityDB vs. MonetDB vs. Newts

System Properties Comparison Databricks vs. InfinityDB vs. MonetDB vs. Newts

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonInfinityDB  Xexclude from comparisonMonetDB  Xexclude from comparisonNewts  Xexclude from comparison
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.A Java embedded Key-Value Store which extends the Java Map interfaceA relational database management system that stores data in columnsTime Series DBMS based on Cassandra
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websitewww.databricks.comboilerbay.comwww.monetdb.orgopennms.github.io/­newts
Technical documentationdocs.databricks.comboilerbay.com/­infinitydb/­manualwww.monetdb.org/­Documentationgithub.com/­OpenNMS/­newts/­wiki
DeveloperDatabricksBoiler Bay Inc.MonetDB BVOpenNMS Group
Initial release2013200220042014
Current release4.0Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava
Server operating systemshostedAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesschema-free
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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 indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesno
SQL infoSupport of SQLwith Databricks SQLnoyes infoSQL 2003 with some extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
Java API
Supported programming languagesPython
R
Scala
JavaC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes, in SQL, C, Rno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding via remote tablesSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone infoSource-replica replication available in experimental statusselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 controlnofine grained access rights according to SQL-standardno
More information provided by the system vendor
DatabricksInfinityDBMonetDBNewts
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksInfinityDBMonetDBNewts
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