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DBMS > Databricks vs. Hazelcast vs. SAP SQL Anywhere vs. Splunk

System Properties Comparison Databricks vs. Hazelcast vs. SAP SQL Anywhere vs. Splunk

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHazelcast  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSplunk  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 widely adopted in-memory data gridRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsAnalytics Platform for Big Data
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMSSearch engine
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
Score5.46
Rank#61  Overall
#7  Key-value stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websitewww.databricks.comhazelcast.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.splunk.com
Technical documentationdocs.databricks.comhazelcast.org/­imdg/­docshelp.sap.com/­docs/­SAP_SQL_Anywheredocs.splunk.com/­Documentation/­Splunk
DeveloperDatabricksHazelcastSAP infoformerly SybaseSplunk Inc.
Initial release2013200819922003
Current release5.3.6, November 202317, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query languageyesno infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
HTTP REST
Supported programming languagesPython
R
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoEvent Listeners, Executor Servicesyes, in C/C++, Java, .Net or Perlyes
Triggersyes infoEventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated MapSource-replica replication infoDatabase mirroringMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
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.noyesyesno
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
DatabricksHazelcastSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSplunk
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksHazelcastSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSplunk
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