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DBMS > BigObject vs. Linter vs. LMDB vs. Netezza

System Properties Comparison BigObject vs. Linter vs. LMDB vs. Netezza

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonLinter  Xexclude from comparisonLMDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesRDBMS for high security requirementsA high performant, light-weight, embedded key-value database libraryData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitebigobject.iolinter.ruwww.symas.com/­symas-embedded-database-lmdbwww.ibm.com/­products/­netezza
Technical documentationdocs.bigobject.iowww.lmdb.tech/­doc
DeveloperBigObject, Inc.relex.ruSymasIBM
Initial release2015199020112000
Current release0.9.32, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Unix
Windows
Linux infoincluded in appliance
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.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
Server-side scripts infoStored proceduresLuayes infoproprietary syntax with the possibility to convert from PL/SQLnoyes
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept

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More resources
BigObjectLinterLMDBNetezza infoAlso called PureData System for Analytics by IBM
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