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DBMS > BigchainDB vs. openGauss vs. Sadas Engine vs. Spark SQL vs. Warp 10

System Properties Comparison BigchainDB vs. openGauss vs. Sadas Engine vs. Spark SQL vs. Warp 10

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonopenGauss  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparisonWarp 10  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 HuaweiSADAS 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 processingTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSTime Series 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
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.bigchaindb.comgitee.com/­opengauss
opengauss.org
www.sadasengine.comspark.apache.org/­sqlwww.warp10.io
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperHuawei and openGauss communitySADAS s.r.l.Apache Software FoundationSenX
Initial release20162019200620142015
Current release3.0, March 20228.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Sourcecommercial infofree trial version availableOpen Source infoApache 2.0Open Source infoApache License 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++ScalaJava
Server operating systemsLinuxLinuxAIX
Linux
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonononono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoANSI SQL 2011yesSQL-like DML and DDL statementsno
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C++
Java
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnonoyes infoWarpScript
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)horizontal partitioningyes, utilizing Spark CoreSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnonenoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
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'noyes
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standardnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
BigchainDBopenGaussSadas EngineSpark SQLWarp 10
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