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

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

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonHarperDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionIndustrial-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.Data warehouse and analytics appliance part of IBM PureSystemsTime Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelEvent StoreDocument storeRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#181  Overall
#1  Event Stores
Score0.55
Rank#252  Overall
#38  Document stores
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitewww.eventstore.comwww.harperdb.iowww.ibm.com/­products/­netezzaopennms.github.io/­newtsquasar.ai
Technical documentationdevelopers.eventstore.comdocs.harperdb.io/­docsgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperEvent Store LimitedHarperDBIBMOpenNMS Groupquasardb
Initial release20122017200020142009
Current release21.2, February 20213.1, August 20213.14.1, January 2024
License infoCommercial or Open SourceOpen Sourcecommercial infofree community edition availablecommercialOpen 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

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Implementation languageNode.jsJavaC++
Server operating systemsLinux
Windows
Linux
OS X
Linux infoincluded in applianceLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemedynamic schemayesschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyesyes 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.nonono
Secondary indexesyesyesnoyes infowith tags
SQL infoSupport of SQLSQL-like data manipulation statementsyesnoSQL-like query language
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
OLE DB
HTTP REST
Java API
HTTP API
Supported programming languages.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++
Fortran
Java
Lua
Perl
Python
R
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1yesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedSource-replica replicationselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyesyes 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 controlAccess rights for users and rolesUsers with fine-grained authorization conceptnoCryptographically strong user authentication and audit trail

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More resources
EventStoreDBHarperDBNetezza infoAlso called PureData System for Analytics by IBMNewtsQuasardb
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