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DBMS > EXASOL vs. HarperDB vs. HBase vs. IRONdb vs. SwayDB

System Properties Comparison EXASOL vs. HarperDB vs. HBase vs. IRONdb vs. SwayDB

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonHarperDB  Xexclude from comparisonHBase  Xexclude from comparisonIRONdb  Xexclude from comparisonSwayDB  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.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.Wide-column store based on Apache Hadoop and on concepts of BigTableA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSDocument storeWide column storeTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.exasol.comwww.harperdb.iohbase.apache.orgwww.circonus.com/solutions/time-series-database/swaydb.simer.au
Technical documentationwww.exasol.com/­resourcesdocs.harperdb.io/­docshbase.apache.org/­book.htmldocs.circonus.com/irondb/category/getting-started
DeveloperExasolHarperDBApache Software Foundation infoApache top-level project, originally developed by PowersetCirconus LLC.Simer Plaha
Initial release20002017200820172018
Current release3.1, August 20212.3.4, January 2021V0.10.20, January 2018
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache version 2commercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsJavaC and C++Scala
Server operating systemsLinux
OS X
Linux
Unix
Windows infousing Cygwin
Linux
Data schemeyesdynamic schemaschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesoptions to bring your own types, AVROyes infotext, numeric, histogramsno
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.nonononono
Secondary indexesyesyesnonono
SQL infoSupport of SQLyesSQL-like data manipulation statementsnoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RESTful HTTP API
Thrift
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++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1yes infoCoprocessors in Javayes, in Luano
Triggersyesnoyesnono
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 nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
configurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsSingle row ACID (across millions of columns)noAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users and rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnono

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More resources
EXASOLHarperDBHBaseIRONdbSwayDB
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