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DBMS > Dragonfly vs. Hypertable vs. IBM Db2 Event Store vs. ToroDB

System Properties Comparison Dragonfly vs. Hypertable vs. IBM Db2 Event Store vs. ToroDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonToroDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceAn open source BigTable implementation based on distributed file systems such as HadoopDistributed Event Store optimized for Internet of Things use casesA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value storeWide column storeEvent Store
Time Series DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.ibm.com/­products/­db2-event-storegithub.com/­torodb/­server
Technical documentationwww.dragonflydb.io/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperDragonflyDB team and community contributorsHypertable Inc.IBM8Kdata
Initial release2023200920172016
Current release1.0, March 20230.9.8.11, March 20162.0
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoGNU version 3. Commercial license availablecommercial infofree developer edition availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C and C++Java
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoLinux, macOS, Windows for the developer additionAll OS with a Java 7 VM
Data schemescheme-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysnoyesyes infostring, integer, double, boolean, date, object_id
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 indexesnorestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtime
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolC++ API
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresLuanoyes
Triggerspublish/subscribe channels provide some trigger functionalitynonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor on file system levelActive-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnonono
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlPassword-based authenticationnofine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
DragonflyHypertableIBM Db2 Event StoreToroDB
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