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DBMS > EXASOL vs. LMDB vs. Microsoft Azure Synapse Analytics vs. SQream DB

System Properties Comparison EXASOL vs. LMDB vs. Microsoft Azure Synapse Analytics vs. SQream DB

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A high performant, light-weight, embedded key-value database libraryElastic, large scale data warehouse service leveraging the broad eco-system of SQL Servera GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.exasol.comwww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­synapse-analyticssqream.com
Technical documentationwww.exasol.com/­resourceswww.lmdb.tech/­docdocs.microsoft.com/­azure/­synapse-analyticsdocs.sqream.com
DeveloperExasolSymasMicrosoftSQream Technologies
Initial release2000201120162017
Current release0.9.32, January 20242022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
Unix
Windows
hostedLinux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Types
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 indexesyesnoyesno
SQL infoSupport of SQLyesnoyesyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
ADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesJava
Lua
Python
R
.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
PHP
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnoTransact SQLuser defined functions in Python
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding, horizontal partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.yesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnoyes

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More resources
EXASOLLMDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSQream DB
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