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DBMS > BigchainDB vs. dBASE vs. HEAVY.AI vs. InfinityDB vs. Sphinx

System Properties Comparison BigchainDB vs. dBASE vs. HEAVY.AI vs. InfinityDB vs. Sphinx

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisondBASE  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInfinityDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA Java embedded Key-Value Store which extends the Java Map interfaceOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeRelational DBMSRelational DBMSKey-value storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#210  Overall
#36  Document stores
Score12.24
Rank#43  Overall
#27  Relational DBMS
Score2.30
Rank#127  Overall
#60  Relational DBMS
Score0.09
Rank#357  Overall
#53  Key-value stores
Score6.06
Rank#61  Overall
#6  Search engines
Websitewww.bigchaindb.comwww.dbase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
boilerbay.comsphinxsearch.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasedocs.heavy.aiboilerbay.com/­infinitydb/­manualsphinxsearch.com/­docs
DeveloperAsthon TateHEAVY.AI, Inc.Boiler Bay Inc.Sphinx Technologies Inc.
Initial release20161979201620022001
Current releasedBASE 2019, 20195.10, January 20224.03.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++ and CUDAJavaC++
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
LinuxAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or datenoyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysno
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.nonono
Secondary indexesyesnono infomanual creation possible, using inversions based on multi-value capabilityyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyesnoSQL-like query language (SphinxQL)
APIs and other access methodsCLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.JDBC
ODBC
Thrift
Vega
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Proprietary protocol
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDEAll languages supporting JDBC/ODBC/Thrift
Python
JavaC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.nonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoRound robinnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynoyesnono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes 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.yesno
User concepts infoAccess controlyesAccess rights for users and rolesfine grained access rights according to SQL-standardnono

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More resources
BigchainDBdBASEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InfinityDBSphinx
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