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DBMS > Badger vs. InfinityDB vs. ScyllaDB vs. Valentina Server

System Properties Comparison Badger vs. InfinityDB vs. ScyllaDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonInfinityDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A Java embedded Key-Value Store which extends the Java Map interfaceCassandra and DynamoDB compatible wide column storeObject-relational database and reports server
Primary database modelKey-value storeKey-value storeWide column storeRelational DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerboilerbay.comwww.scylladb.comwww.valentina-db.net
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerboilerbay.com/­infinitydb/­manualdocs.scylladb.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDGraph LabsBoiler Bay Inc.ScyllaDBParadigma Software
Initial release2017200220151999
Current release4.0ScyllaDB Open Source 5.4.1, January 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoOpen Source (AGPL), commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageGoJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinuxLinux
OS X
Windows
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes
Typing infopredefined data types such as float or datenoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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 indexesnono infomanual creation possible, using inversions based on multi-value capabilityyes infocluster global secondary indicesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL)yes
APIs and other access methodsAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
ODBC
Supported programming languagesGoJavaFor CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes, Luayes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyes infoin-memory tablesyes
User concepts infoAccess controlnonoAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
BadgerInfinityDBScyllaDBValentina Server
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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BadgerInfinityDBScyllaDBValentina Server
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