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DBMS > Databricks vs. Riak KV vs. Sadas Engine vs. SQream DB vs. TigerGraph

System Properties Comparison Databricks vs. Riak KV vs. Sadas Engine vs. SQream DB vs. TigerGraph

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonRiak KV  Xexclude from comparisonSadas Engine  Xexclude from comparisonSQream DB  Xexclude from comparisonTigerGraph  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.Distributed, fault tolerant key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsa GPU-based, columnar RDBMS for big data analytics workloadsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Relational DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.databricks.comwww.sadasengine.comsqream.comwww.tigergraph.com
Technical documentationdocs.databricks.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.sqream.comdocs.tigergraph.com
DeveloperDatabricksOpenSource, formerly Basho TechnologiesSADAS s.r.l.SQream Technologies
Initial release20132009200620172017
Current release3.2.0, December 20228.02022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2, commercial enterprise editioncommercial infofree trial version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++C++, CUDA, Haskell, Java, ScalaC++
Server operating systemshostedLinux
OS X
AIX
Linux
Windows
LinuxLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyes, ANSI Standard SQL Typesyes
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.yesnonono
Secondary indexesyesrestrictedyesno
SQL infoSupport of SQLwith Databricks SQLnoyesyesSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
.Net
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesPython
R
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++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesErlangnouser defined functions in Pythonyes
Triggersyes infopre-commit hooks and post-commit hooksnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"horizontal partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infolinks between data sets can be storedyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.noyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standardRole-based access control
More information provided by the system vendor
DatabricksRiak KVSadas EngineSQream DBTigerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksRiak KVSadas EngineSQream DBTigerGraph
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