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DBMS > HarperDB vs. IBM Db2 Event Store vs. Newts vs. Quasardb

System Properties Comparison HarperDB vs. IBM Db2 Event Store vs. Newts vs. Quasardb

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionUltra-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 casesTime Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelDocument storeEvent Store
Time Series DBMS
Time Series DBMSTime 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
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.harperdb.iowww.ibm.com/­products/­db2-event-storeopennms.github.io/­newtsquasar.ai
Technical documentationdocs.harperdb.io/­docswww.ibm.com/­docs/­en/­db2-event-storegithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperHarperDBIBMOpenNMS Groupquasardb
Initial release2017201720142009
Current release3.1, August 20212.03.14.1, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infofree developer 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 servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC and C++JavaC++
Server operating systemsLinux
OS X
Linux infoLinux, macOS, Windows for the developer additionLinux
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.nononono
Secondary indexesyesnonoyes infowith tags
SQL infoSupport of SQLSQL-like data manipulation statementsyes infothrough the embedded Spark runtimenoSQL-like query language
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
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#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
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 definedActive-active shard replicationselectable 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 ConsistencyEventual 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 operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyes, using LMDBYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infoTransient mode
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trail

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More resources
HarperDBIBM Db2 Event StoreNewtsQuasardb
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