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DBMS > FeatureBase vs. Sqrrl vs. Tkrzw vs. Transwarp StellarDB

System Properties Comparison FeatureBase vs. Sqrrl vs. Tkrzw vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonSqrrl  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Adaptable, secure NoSQL built on Apache AccumuloA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Key-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitewww.featurebase.comsqrrl.comdbmx.net/­tkrzwwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.featurebase.com
DeveloperMolecula and Pilosa Open Source ContributorsAmazon infooriginally Sqrrl Data, Inc.Mikio HirabayashiTranswarp
Initial release201720122020
Current release2022, May 20220.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++
Server operating systemsLinux
macOS
LinuxLinux
macOS
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLSQL queriesnonoSQL-like query language
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
OpenCypher
Supported programming languagesJava
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomaking use of Hadoopnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infomaking use of Hadoopnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classes
User concepts infoAccess controlCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)noyes

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More resources
FeatureBaseSqrrlTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTranswarp StellarDB
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