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DBMS > Badger vs. NSDb vs. SiteWhere vs. YugabyteDB

System Properties Comparison Badger vs. NSDb vs. SiteWhere vs. YugabyteDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonNSDb  Xexclude from comparisonSiteWhere  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesM2M integration platform for persisting/querying time series dataHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelKey-value storeTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Wide column 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#383  Overall
#41  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitegithub.com/­dgraph-io/­badgernsdb.iogithub.com/­sitewhere/­sitewherewww.yugabyte.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgernsdb.io/­Architecturesitewhere1.sitewhere.io/­index.htmldocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperDGraph LabsSiteWhereYugabyte Inc.
Initial release2017201720102017
Current release2.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0
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.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageGoJava, ScalaJavaC and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Linux
OS X
Windows
Linux
OS X
Data schemeschema-freepredefined schemedepending on used data model
Typing infopredefined data types such as float or datenoyes: int, bigint, decimal, stringyesyes
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.nononono
Secondary indexesnoall fields are automatically indexednoyes
SQL infoSupport of SQLnoSQL-like query languagenoyes, PostgreSQL compatible
APIs and other access methodsgRPC
HTTP REST
WebSocket
HTTP RESTJDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesGoJava
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnonoyes infosql, plpgsql, C
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on HBaseHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on HBaseBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoUsers with fine-grained authorization conceptyes
More information provided by the system vendor
BadgerNSDbSiteWhereYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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BadgerNSDbSiteWhereYugabyteDB
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