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DBMS > LMDB vs. ObjectBox vs. QuestDB vs. Sphinx vs. Trafodion

System Properties Comparison LMDB vs. ObjectBox vs. QuestDB vs. Sphinx vs. Trafodion

Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonObjectBox  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA high performant, light-weight, embedded key-value database libraryExtremely fast embedded database for small devices, IoT and MobileA high performance open source SQL database for time series dataOpen source search engine for searching in data from different sources, e.g. relational databasesTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeObject oriented DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#121  Overall
#20  Key-value stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.symas.com/­symas-embedded-database-lmdbobjectbox.ioquestdb.iosphinxsearch.comtrafodion.apache.org
Technical documentationwww.lmdb.tech/­docdocs.objectbox.ioquestdb.io/­docssphinxsearch.com/­docstrafodion.apache.org/­documentation.html
DeveloperSymasObjectBox LimitedQuestDB Technology IncSphinx Technologies Inc.Apache Software Foundation, originally developed by HP
Initial release20112017201420012014
Current release0.9.32, January 20243.5.1, February 20232.3.0, February 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++Java (Zero-GC), C++, RustC++C++, Java
Server operating systemsLinux
Unix
Windows
Android
iOS
Linux
macOS
Windows
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesnoyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL with time-series extensionsSQL-like query language (SphinxQL)yes
APIs and other access methodsProprietary native APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocolADO.NET
JDBC
ODBC
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++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonononoJava Stored Procedures
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneonline/offline synchronization between client and serverSource-replica replication with eventual consistencynoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infothrough memory mapped filesno
User concepts infoAccess controlnoyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
LMDBObjectBoxQuestDBSphinxTrafodion
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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