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DBMS > Atos Standard Common Repository vs. Brytlyt vs. Hawkular Metrics vs. HEAVY.AI vs. Qdrant

System Properties Comparison Atos Standard Common Repository vs. Brytlyt vs. Hawkular Metrics vs. HEAVY.AI vs. Qdrant

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBrytlyt  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonQdrant  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 networksScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybrytlyt.iowww.hawkular.orggithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.brytlyt.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.heavy.aiqdrant.tech/­documentation
DeveloperAtos Convergence CreatorsBrytlytCommunity supported by Red HatHEAVY.AI, Inc.Qdrant
Initial release20162016201420162021
Current release17035.0, August 20235.10, January 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAJavaC++ and CUDARust
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Windows
LinuxDocker
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyesNumbers, Strings, Geo, Boolean
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 infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesnonoyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoyesnoyesno
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP RESTJDBC
ODBC
Thrift
Vega
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Go
Java
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLnono
Triggersyesyesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infobased on CassandraSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor infobased on CassandraMulti-source replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyesyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardKey-based authentication

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More resources
Atos Standard Common RepositoryBrytlytHawkular MetricsHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Qdrant
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