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DBMS > Apache Phoenix vs. IRONdb vs. Sqrrl vs. WakandaDB

System Properties Comparison Apache Phoenix vs. IRONdb vs. Sqrrl vs. WakandaDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonIRONdb  Xexclude from comparisonSqrrl  Xexclude from comparisonWakandaDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityAdaptable, secure NoSQL built on Apache AccumuloWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.10
Rank#356  Overall
#17  Object oriented DBMS
Websitephoenix.apache.orgwww.circonus.com/solutions/time-series-database/sqrrl.comwakanda.github.io
Technical documentationphoenix.apache.orgdocs.circonus.com/irondb/category/getting-startedwakanda.github.io/­doc
DeveloperApache Software FoundationCirconus LLC.Amazon infooriginally Sqrrl Data, Inc.Wakanda SAS
Initial release2014201720122012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019V0.10.20, January 20182.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoAGPLv3, extended commercial license available
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 languageJavaC and C++JavaC++, JavaScript
Server operating systemsLinux
Unix
Windows
LinuxLinuxLinux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes
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 indexesyesnoyes
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsJDBCHTTP APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
JavaScript
Server-side scripts infoStored proceduresuser defined functionsyes, in Luanoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
configurable replication factor, datacenter awareselectable replication factor infomaking use of Hadoopnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)yes

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More resources
Apache PhoenixIRONdbSqrrlWakandaDB
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