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DBMS > Badger vs. Coveo vs. jBASE vs. Linter vs. Sqrrl

System Properties Comparison Badger vs. Coveo vs. jBASE vs. Linter vs. Sqrrl

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCoveo  Xexclude from comparisonjBASE  Xexclude from comparisonLinter  Xexclude from comparisonSqrrl  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.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA robust multi-value DBMS comprising development tools and middlewareRDBMS for high security requirementsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value storeSearch engineMultivalue DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score2.11
Rank#118  Overall
#11  Search engines
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.coveo.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaselinter.rusqrrl.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.coveo.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperDGraph LabsCoveoRocket Software (formerly Zumasys)relex.ruAmazon infooriginally Sqrrl Data, Inc.
Initial release20172012199119902012
Current release5.7
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedAIX
Linux
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesoptionalyesyes
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.nonoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoEmbedded SQL for jBASE in BASICyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesGoC#
Java
JavaScript
Python
.Net
Basic
Jabbascript
Java
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnonoyesyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnogranular access controls, API key management, content filtersAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
BadgerCoveojBASELinterSqrrl
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