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DBMS > Badger vs. Databend vs. Datomic vs. Google Cloud Bigtable

System Properties Comparison Badger vs. Databend vs. Datomic vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabend  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelKey-value storeRelational DBMSRelational DBMSKey-value 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
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Websitegithub.com/­dgraph-io/­badgergithub.com/­datafuselabs/­databend
www.databend.com
www.datomic.comcloud.google.com/­bigtable
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databend.comdocs.datomic.comcloud.google.com/­bigtable/­docs
DeveloperDGraph LabsDatabend LabsCognitectGoogle
Initial release2017202120122015
Current release1.0.59, April 20231.0.7075, December 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoRustJava, Clojure
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hosted
Linux
macOS
All OS with a Java VMhosted
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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 indexesnonoyesno
SQL infoSupport of SQLnoyesnono
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
RESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesGoGo
Java
JavaScript (Node.js)
Python
Rust
Clojure
Java
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes infoTransaction Functionsno
TriggersnonoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnonenonenone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone infoBut extensive use of caching in the application peersInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentno
User concepts infoAccess controlnoUsers with fine-grained authorization concept, user rolesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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BadgerDatabendDatomicGoogle Cloud Bigtable
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