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DBMS > EXASOL vs. HarperDB vs. IBM Db2 Event Store vs. IRONdb

System Properties Comparison EXASOL vs. HarperDB vs. IBM Db2 Event Store vs. IRONdb

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonHarperDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonIRONdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.HarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Distributed Event Store optimized for Internet of Things use casesA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelRelational DBMSDocument storeEvent Store
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Websitewww.exasol.comwww.harperdb.iowww.ibm.com/­products/­db2-event-storewww.circonus.com/solutions/time-series-database/
Technical documentationwww.exasol.com/­resourcesdocs.harperdb.io/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.circonus.com/irondb/category/getting-started
DeveloperExasolHarperDBIBMCirconus LLC.
Initial release2000201720172017
Current release3.1, August 20212.0V0.10.20, January 2018
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercial infofree developer edition availablecommercial
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++C and C++
Server operating systemsLinux
OS X
Linux infoLinux, macOS, Windows for the developer additionLinux
Data schemeyesdynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes infotext, numeric, histograms
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 indexesyesyesnono
SQL infoSupport of SQLyesSQL-like data manipulation statementsyes infothrough the embedded Spark runtimeSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesJava
Lua
Python
R
.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
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1yesyes, in Lua
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedActive-active shard replicationconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyes, using LMDBYes - 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.yesyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users and rolesfine grained access rights according to SQL-standardno

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More resources
EXASOLHarperDBIBM Db2 Event StoreIRONdb
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