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DBMS > Databricks vs. Greenplum vs. Hazelcast vs. IRONdb

System Properties Comparison Databricks vs. Greenplum vs. Hazelcast vs. IRONdb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGreenplum  Xexclude from comparisonHazelcast  Xexclude from comparisonIRONdb  Xexclude from comparison
IRONdb 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.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A widely adopted in-memory data gridA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitewww.databricks.comgreenplum.orghazelcast.comwww.circonus.com/solutions/time-series-database/
Technical documentationdocs.databricks.comdocs.greenplum.orghazelcast.org/­imdg/­docsdocs.circonus.com/irondb/category/getting-started
DeveloperDatabricksPivotal Software Inc.HazelcastCirconus LLC.
Initial release2013200520082017
Current release7.0.0, September 20235.3.6, November 2023V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++
Server operating systemshostedLinuxAll OS with a Java VMLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histograms
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.yesyes infosince Version 4.2yes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLyesSQL-like query languageSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API
Supported programming languagesPython
R
Scala
C
Java
Perl
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyes infoEvent Listeners, Executor Servicesyes, in Lua
Triggersyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoReplicated Mapconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedno
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.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlno
More information provided by the system vendor
DatabricksGreenplumHazelcastIRONdb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGreenplumHazelcastIRONdb
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