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DBMS > BigchainDB vs. OpenEdge vs. Spark SQL vs. Sphinx

System Properties Comparison BigchainDB vs. OpenEdge vs. Spark SQL vs. Sphinx

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonSpark SQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsApplication development environment with integrated database management systemSpark SQL is a component on top of 'Spark Core' for structured data processingOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.bigchaindb.comwww.progress.com/­openedgespark.apache.org/­sqlsphinxsearch.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocumentation.progress.com/­output/­ua/­OpenEdge_latestspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docs
DeveloperProgress Software CorporationApache Software FoundationSphinx Technologies Inc.
Initial release2016198420142001
Current releaseOpenEdge 12.2, March 20203.5.0 ( 2.13), September 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonScalaC++
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesno
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.noyesno
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnoyes infoclose to SQL 92SQL-like DML and DDL statementsSQL-like query language (SphinxQL)
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Progress proprietary ABL (Advanced Business Language)Java
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4yes, utilizing Spark CoreSharding infoPartitioning is done manually, search queries against distributed index is supported
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 Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyesUsers and groupsnono

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More resources
BigchainDBOpenEdgeSpark SQLSphinx
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