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DBMS > BigchainDB vs. openGauss vs. ReductStore vs. Sadas Engine vs. Spark SQL

System Properties Comparison BigchainDB vs. openGauss vs. ReductStore vs. Sadas Engine vs. Spark SQL

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonopenGauss  Xexclude from comparisonReductStore  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.bigchaindb.comgitee.com/­opengauss
opengauss.org
github.com/­reductstore
www.reduct.store
www.sadasengine.comspark.apache.org/­sql
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.reduct.store/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHuawei and openGauss communityReductStore LLCSADAS s.r.l.Apache Software Foundation
Initial release20162019202320062014
Current release3.0, March 20221.9, March 20248.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3Open SourceOpen Source infoBusiness Source License 1.1commercial infofree trial version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC, C++, JavaC++, RustC++Scala
Server operating systemsLinuxLinuxDocker
Linux
macOS
Windows
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nononono
Secondary indexesyesyesno
SQL infoSupport of SQLnoANSI SQL 2011yesSQL-like DML and DDL statements
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
HTTP APIJDBC
ODBC
Proprietary protocol
JDBC
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C++
Java
C++
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)horizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
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 controlyesAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno

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More resources
BigchainDBopenGaussReductStoreSadas EngineSpark SQL
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