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DBMS > Hypertable vs. InfinityDB vs. Sphinx

System Properties Comparison Hypertable vs. InfinityDB vs. Sphinx

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonInfinityDB  Xexclude from comparisonSphinx  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopA 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 modelWide column storeKey-value storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#359  Overall
#54  Key-value stores
Score6.03
Rank#60  Overall
#6  Search engines
Websiteboilerbay.comsphinxsearch.com
Technical documentationboilerbay.com/­infinitydb/­manualsphinxsearch.com/­docs
DeveloperHypertable Inc.Boiler Bay Inc.Sphinx Technologies Inc.
Initial release200920022001
Current release0.9.8.11, March 20164.03.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or datenoyes 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.no
Secondary indexesrestricted infoonly exact value or prefix value scansno infomanual creation possible, using inversions based on multi-value capabilityyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)
APIs and other access methodsC++ API
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Proprietary protocol
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
JavaC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.no
User concepts infoAccess controlnonono

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HypertableInfinityDBSphinx
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