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DBMS > LMDB vs. Netezza vs. Rockset vs. Sphinx

System Properties Comparison LMDB vs. Netezza vs. Rockset vs. Sphinx

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Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA high performant, light-weight, embedded key-value database libraryData warehouse and analytics appliance part of IBM PureSystemsA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeRelational DBMSDocument storeSearch engine
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#121  Overall
#20  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.symas.com/­symas-embedded-database-lmdbwww.ibm.com/­products/­netezzarockset.comsphinxsearch.com
Technical documentationwww.lmdb.tech/­docdocs.rockset.comsphinxsearch.com/­docs
DeveloperSymasIBMRocksetSphinx Technologies Inc.
Initial release2011200020192001
Current release0.9.32, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++
Server operating systemsLinux
Unix
Windows
Linux infoincluded in appliancehostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesdynamic typingno
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.nono infoingestion from XML files supported
Secondary indexesnoyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
OLE DB
HTTP RESTProprietary protocol
Supported programming languages.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C
C++
Fortran
Java
Lua
Perl
Python
R
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yes
User concepts infoAccess controlnoUsers with fine-grained authorization conceptAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
LMDBNetezza infoAlso called PureData System for Analytics by IBMRocksetSphinx
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