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DBMS > Brytlyt vs. EventStoreDB vs. HarperDB vs. Newts vs. Quasardb

System Properties Comparison Brytlyt vs. EventStoreDB vs. HarperDB vs. Newts vs. Quasardb

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHarperDB  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLIndustrial-strength, open-source database solution built from the ground up for event sourcing.Ultra-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.Time Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelRelational DBMSEvent StoreDocument storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#279  Overall
#126  Relational DBMS
Score1.14
Rank#181  Overall
#1  Event Stores
Score0.55
Rank#252  Overall
#38  Document stores
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitebrytlyt.iowww.eventstore.comwww.harperdb.ioopennms.github.io/­newtsquasar.ai
Technical documentationdocs.brytlyt.iodevelopers.eventstore.comdocs.harperdb.io/­docsgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperBrytlytEvent Store LimitedHarperDBOpenNMS Groupquasardb
Initial release20162012201720142009
Current release5.0, August 202321.2, February 20213.1, August 20213.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infofree community edition availableOpen Source infoApache 2.0commercial 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDANode.jsJavaC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesdynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes 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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesnoyes infowith tags
SQL infoSupport of SQLyesSQL-like data manipulation statementsnoSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP REST
Java API
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.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
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLCustom Functions infosince release 3.1nono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infothe nodes on which a table resides can be definedselectable replication factor infobased on CassandraSource-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 ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesnoCryptographically strong user authentication and audit trail

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More resources
BrytlytEventStoreDBHarperDBNewtsQuasardb
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