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DBMS > Atos Standard Common Repository vs. Hazelcast vs. LMDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Atos Standard Common Repository vs. Hazelcast vs. LMDB vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHazelcast  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA widely adopted in-memory data gridA high performant, light-weight, embedded key-value database libraryElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Key-value store
Key-value storeKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.99
Rank#125  Overall
#21  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryhazelcast.comwww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­synapse-analytics
Technical documentationhazelcast.org/­imdg/­docswww.lmdb.tech/­docdocs.microsoft.com/­azure/­synapse-analytics
DeveloperAtos Convergence CreatorsHazelcastSymasMicrosoft
Initial release2016200820112016
Current release17035.3.6, November 20230.9.32, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaCC++
Server operating systemsLinuxAll OS with a Java VMLinux
Unix
Windows
hosted
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyes
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.yesyes infothe object must implement a serialization strategynono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoSQL-like query languagenoyes
APIs and other access methodsLDAPJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.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
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesnoTransact SQL
Triggersyesyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Mapnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsone or two-phase-commit; repeatable reads; read commitedACIDACID
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.yesyesyes
User concepts infoAccess controlLDAP bind authenticationRole-based access controlnoyes

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More resources
Atos Standard Common RepositoryHazelcastLMDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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