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DBMS > Databricks vs. Ignite vs. Riak TS vs. Sadas Engine vs. SpaceTime

System Properties Comparison Databricks vs. Ignite vs. Riak TS vs. Sadas Engine vs. SpaceTime

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIgnite  Xexclude from comparisonRiak TS  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpaceTime  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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KVSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Time Series DBMSRelational DBMSSpatial DBMS
Secondary database modelsRelational 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
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websitewww.databricks.comignite.apache.orgwww.sadasengine.comwww.mireo.com/­spacetime
Technical documentationdocs.databricks.comapacheignite.readme.io/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperDatabricksApache Software FoundationOpen Source, formerly Basho TechnologiesSADAS s.r.l.Mireo
Initial release20132015201520062020
Current releaseApache Ignite 2.63.0.0, September 20228.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Sourcecommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetErlangC++C++
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
OS X
AIX
Linux
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.yesyesnonono
Secondary indexesyesyesrestrictedyesno
SQL infoSupport of SQLwith Databricks SQLANSI-99 for query and DML statements, subset of DDLyes, limitedyesA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesPython
R
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
C
C#
C++
Groovy
Java
PHP
Python
C#
C++
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes (compute grid and cache interceptors can be used instead)Erlangnono
Triggersyes (cache interceptors and events)yes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)selectable replication factornoneReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between datasets can be storedyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.noyesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlSecurity Hooks for custom implementationsnoAccess rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
DatabricksIgniteRiak TSSadas EngineSpaceTime
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksIgniteRiak TSSadas EngineSpaceTime
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