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DBMS > Databricks vs. Hazelcast vs. Microsoft Azure SQL Database vs. OpenEdge vs. Sqrrl

System Properties Comparison Databricks vs. Hazelcast vs. Microsoft Azure SQL Database vs. OpenEdge vs. Sqrrl

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOpenEdge  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed 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.A widely adopted in-memory data gridDatabase as a Service offering with high compatibility to Microsoft SQL ServerApplication development environment with integrated database management systemAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS
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
Score5.46
Rank#61  Overall
#7  Key-value stores
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Websitewww.databricks.comhazelcast.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.progress.com/­openedgesqrrl.com
Technical documentationdocs.databricks.comhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqldocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperDatabricksHazelcastMicrosoftProgress Software CorporationAmazon infooriginally Sqrrl Data, Inc.
Initial release20132008201019842012
Current release5.3.6, November 2023V12OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemshostedAll OS with a Java VMhostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 infothe object must implement a serialization strategyyesyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query languageyesyes infoclose to SQL 92no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesPython
R
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoEvent Listeners, Executor ServicesTransact SQLyesno
Triggersyes infoEventsyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4Sharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Mapyes, with always 3 replicas availableSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardUsers and groupsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
DatabricksHazelcastMicrosoft Azure SQL Database infoformerly SQL AzureOpenEdgeSqrrl
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksHazelcastMicrosoft Azure SQL Database infoformerly SQL AzureOpenEdgeSqrrl
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