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DBMS > Atos Standard Common Repository vs. Google Cloud Datastore vs. ITTIA vs. LMDB vs. Prometheus

System Properties Comparison Atos Standard Common Repository vs. Google Cloud Datastore vs. ITTIA vs. LMDB vs. Prometheus

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonITTIA  Xexclude from comparisonLMDB  Xexclude from comparisonPrometheus  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 networksAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformEdge Time Series DBMS with Real-Time Stream ProcessingA high performant, light-weight, embedded key-value database libraryOpen-source Time Series DBMS and monitoring system
Primary database modelDocument store
Key-value store
Document storeTime Series DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­datastorewww.ittia.comwww.symas.com/­symas-embedded-database-lmdbprometheus.io
Technical documentationcloud.google.com/­datastore/­docswww.lmdb.tech/­docprometheus.io/­docs
DeveloperAtos Convergence CreatorsGoogleITTIA L.L.C.Symas
Initial release20162008200720112015
Current release17038.70.9.32, January 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++CGo
Server operating systemsLinuxhostedLinux
Windows
Linux
Unix
Windows
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateoptionalyes, details hereFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/IntervalNumeric data only
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.yesnononono infoImport of XML data possible
Secondary indexesyesyesyesnono
SQL infoSupport of SQLnoSQL-like query language (GQL)yesnono
APIs and other access methodsLDAPgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
WebSocket
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindings.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
JavaScript (Node.js)
Python
.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
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnousing Google App Engineyesnono
TriggersyesCallbacks using the Google Apps Enginenonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using Paxosyesnoneyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistencynone
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesno
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Database file passwordsnono

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More resources
Atos Standard Common RepositoryGoogle Cloud DatastoreITTIALMDBPrometheus
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