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DBMS > Axibase vs. Badger vs. Google Cloud Bigtable vs. YugabyteDB

System Properties Comparison Axibase vs. Badger vs. Google Cloud Bigtable vs. YugabyteDB

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonBadger  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelTime Series DBMSKey-value storeKey-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financegithub.com/­dgraph-io/­badgercloud.google.com/­bigtablewww.yugabyte.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercloud.google.com/­bigtable/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperAxibase CorporationDGraph LabsGoogleYugabyte Inc.
Initial release2013201720152017
Current release155852.19, September 2023
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 languageJavaGoC and C++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Data schemeyesschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringnonoyes
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 indexesnononoyes
SQL infoSupport of SQLSQL-like query languagenonoyes, PostgreSQL compatible
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
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
Java
PHP
Python
R
Ruby
GoC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyesnonoyes infosql, plpgsql, C
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneInternal replication in Colossus, and regional replication between two clusters in different zonesBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Strong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic single-row operationsDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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 controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes
More information provided by the system vendor
AxibaseBadgerGoogle Cloud BigtableYugabyteDB
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
AxibaseBadgerGoogle Cloud BigtableYugabyteDB
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