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DBMS > Atos Standard Common Repository vs. HarperDB vs. IBM Db2 Event Store vs. Memcached vs. Quasardb

System Properties Comparison Atos Standard Common Repository vs. HarperDB vs. IBM Db2 Event Store vs. Memcached vs. Quasardb

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHarperDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMemcached  Xexclude from comparisonQuasardb  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 networksUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Distributed Event Store optimized for Internet of Things use casesIn-memory key-value store, originally intended for cachingDistributed, high-performance timeseries database
Primary database modelDocument store
Key-value store
Document storeEvent Store
Time Series DBMS
Key-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.harperdb.iowww.ibm.com/­products/­db2-event-storewww.memcached.orgquasar.ai
Technical documentationdocs.harperdb.io/­docswww.ibm.com/­docs/­en/­db2-event-storegithub.com/­memcached/­memcached/­wikidoc.quasar.ai/­master
DeveloperAtos Convergence CreatorsHarperDBIBMDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalquasardb
Initial release20162017201720032009
Current release17033.1, August 20212.01.6.25, March 20243.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercial infofree developer edition availableOpen Source infoBSD licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsC and C++CC++
Server operating systemsLinuxLinux
OS X
Linux infoLinux, macOS, Windows for the developer additionFreeBSD
Linux
OS X
Unix
Windows
BSD
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsdynamic schemayesschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyes infoJSON data typesyesnoyes infointeger and binary
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.yesnonono
Secondary indexesyesyesnonoyes infowith tags
SQL infoSupport of SQLnoSQL-like data manipulation statementsyes infothrough the embedded Spark runtimenoSQL-like query language
APIs and other access methodsLDAPJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Proprietary protocolHTTP API
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yesnono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionA table resides as a whole on one (or more) nodes in a clusterShardingnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definedActive-active shard replicationnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic execution of specific operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyes, using LMDBYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storagenoyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoTransient mode
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and rolesfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolCryptographically strong user authentication and audit trail

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More resources
Atos Standard Common RepositoryHarperDBIBM Db2 Event StoreMemcachedQuasardb
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