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DBMS > Badger vs. Google BigQuery vs. Memgraph vs. Teradata

System Properties Comparison Badger vs. Google BigQuery vs. Memgraph vs. Teradata

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMemgraph  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Large scale data warehouse service with append-only tablesAn open source graph database built for real-time streaming and compatible with Neo4jA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value storeRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
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
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitegithub.com/­dgraph-io/­badgercloud.google.com/­bigquerymemgraph.comwww.teradata.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercloud.google.com/­bigquery/­docsmemgraph.com/­docsdocs.teradata.com
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperDGraph LabsGoogleMemgraph LtdTeradata
Initial release2017201020171984
Current releaseTeradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercial
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.
Implementation languageGoC and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinuxhosted
Linux
Data schemeschema-freeyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nononoyes
Secondary indexesnonoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyesnoyes infoSQL 2016 + extensions
APIs and other access methodsRESTful HTTP/JSON APIBolt protocol
Cypher query language
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infodynamic graph partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using RAFTMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Users, roles and permissionsfine grained access rights according to SQL-standard
More information provided by the system vendor
BadgerGoogle BigQueryMemgraphTeradata
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
BadgerGoogle BigQueryMemgraphTeradata
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