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DBMS > Badger vs. Google BigQuery vs. PouchDB vs. YugabyteDB

System Properties Comparison Badger vs. Google BigQuery vs. PouchDB vs. YugabyteDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonPouchDB  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Large scale data warehouse service with append-only tablesJavaScript DBMS with an API inspired by CouchDBHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelKey-value storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitegithub.com/­dgraph-io/­badgercloud.google.com/­bigquerypouchdb.comwww.yugabyte.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercloud.google.com/­bigquery/­docspouchdb.com/­guidesdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperDGraph LabsGoogleApache Software FoundationYugabyte Inc.
Initial release2017201020122017
Current release7.1.1, June 20192.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageGoJavaScriptC and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Data schemeschema-freeyesschema-freedepending on used data model
Typing infopredefined data types such as float or datenoyesnoyes
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 indexesnonoyes infovia viewsyes
SQL infoSupport of SQLnoyesnoyes, PostgreSQL compatible
APIs and other access methodsRESTful HTTP/JSON APIHTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
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 languagesGo.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScriptC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptView functions in JavaScriptyes infosql, plpgsql, C
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infowith a proxy-based framework, named couchdb-loungeHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual 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 datanono infoSince BigQuery is designed for querying datanoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noyes
More information provided by the system vendor
BadgerGoogle BigQueryPouchDBYugabyteDB
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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More resources
BadgerGoogle BigQueryPouchDBYugabyteDB
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