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DBMS > Badger vs. EXASOL vs. Google Cloud Bigtable vs. Ingres vs. TerarkDB

System Properties Comparison Badger vs. EXASOL vs. Google Cloud Bigtable vs. Ingres vs. TerarkDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIngres  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Well established RDBMSA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeRelational DBMSKey-value store
Wide column store
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegithub.com/­dgraph-io/­badgerwww.exasol.comcloud.google.com/­bigtablewww.actian.com/­databases/­ingresgithub.com/­bytedance/­terarkdb
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.exasol.com/­resourcescloud.google.com/­bigtable/­docsdocs.actian.com/­ingresbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDGraph LabsExasolGoogleActian CorporationByteDance, originally Terark
Initial release2017200020151974 infooriginally developed at University Berkely in early 1970s2016
Current release11.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesnoyesno
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLnoyesnoyesno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
C++ API
Java API
Supported programming languagesGoJava
Lua
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsnoyesno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesIngres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
BadgerEXASOLGoogle Cloud BigtableIngresTerarkDB
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