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DBMS > Databend vs. LMDB vs. SQream DB vs. Trafodion

System Properties Comparison Databend vs. LMDB vs. SQream DB vs. Trafodion

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonLMDB  Xexclude from comparisonSQream DB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA high performant, light-weight, embedded key-value database librarya GPU-based, columnar RDBMS for big data analytics workloadsTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.symas.com/­symas-embedded-database-lmdbsqream.comtrafodion.apache.org
Technical documentationdocs.databend.comwww.lmdb.tech/­docdocs.sqream.comtrafodion.apache.org/­documentation.html
DeveloperDatabend LabsSymasSQream TechnologiesApache Software Foundation, originally developed by HP
Initial release2021201120172014
Current release1.0.59, April 20230.9.32, January 20242022.1.6, December 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustCC++, CUDA, Haskell, Java, ScalaC++, Java
Server operating systemshosted
Linux
macOS
Linux
Unix
Windows
LinuxLinux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes
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 indexesnononoyes
SQL infoSupport of SQLyesnoyesyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
.Net
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.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++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonouser defined functions in PythonJava Stored Procedures
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnofine grained access rights according to SQL-standard

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More resources
DatabendLMDBSQream DBTrafodion
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