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DBMS > Databricks vs. DuckDB vs. Hazelcast vs. Machbase Neo vs. Yanza

System Properties Comparison Databricks vs. DuckDB vs. Hazelcast vs. Machbase Neo vs. Yanza

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDuckDB  Xexclude from comparisonHazelcast  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.An embeddable, in-process, column-oriented SQL OLAP RDBMSA widely adopted in-memory data gridTimeSeries DBMS for AIoT and BigDataTime Series DBMS for IoT Applications
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeTime Series DBMSTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Websitewww.databricks.comduckdb.orghazelcast.commachbase.comyanza.com
Technical documentationdocs.databricks.comduckdb.org/­docshazelcast.org/­imdg/­docsmachbase.com/­dbms
DeveloperDatabricksHazelcastMachbaseYanza
Initial release20132018200820132015
Current release0.10, February 20245.3.6, November 2023V8.0, August 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availablecommercial infofree test version availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC
Server operating systemshostedserver-lessAll OS with a Java VMLinux
macOS
Windows
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 infothe object must implement a serialization strategynono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLyesSQL-like query languageSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
HTTP API
Supported programming languagesPython
R
Scala
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes infoEvent Listeners, Executor Servicesnono
Triggersnoyes infoEventsnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoReplicated Mapselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitednono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infovolatile and lookup table
User concepts infoAccess controlnoRole-based access controlsimple password-based access controlno
More information provided by the system vendor
DatabricksDuckDBHazelcastMachbase Neo infoFormer name was InfinifluxYanza
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDuckDBHazelcastMachbase Neo infoFormer name was InfinifluxYanza
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