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DBMS > BigchainDB vs. Greenplum vs. HarperDB vs. Sphinx

System Properties Comparison BigchainDB vs. Greenplum vs. HarperDB vs. Sphinx

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGreenplum  Xexclude from comparisonHarperDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.HarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeRelational DBMSDocument storeSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#216  Overall
#36  Document stores
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score5.97
Rank#56  Overall
#5  Search engines
Websitewww.bigchaindb.comgreenplum.orgwww.harperdb.iosphinxsearch.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.greenplum.orgdocs.harperdb.io/­docssphinxsearch.com/­docs
DeveloperPivotal Software Inc.HarperDBSphinx Technologies Inc.
Initial release2016200520172001
Current release7.0.0, September 20233.1, August 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache 2.0commercial infofree community edition availableOpen 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 languagePythonNode.jsC++
Server operating systemsLinuxLinuxLinux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesdynamic schemayes
Typing infopredefined data types such as float or datenoyesyes infoJSON data typesno
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.noyes infosince Version 4.2no
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL-like data manipulation statementsSQL-like query language (SphinxQL)
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Proprietary protocol
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
Java
Perl
Python
R
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesCustom Functions infosince release 3.1no
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingA table resides as a whole on one (or more) nodes in a clusterSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infothe nodes on which a table resides can be definednone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes, using LMDByes 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.noyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess rights for users and rolesno

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More resources
BigchainDBGreenplumHarperDBSphinx
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