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DBMS > BoltDB vs. Google Cloud Datastore vs. Memgraph vs. SQL.JS vs. Teradata

System Properties Comparison BoltDB vs. Google Cloud Datastore vs. Memgraph vs. SQL.JS vs. Teradata

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMemgraph  Xexclude from comparisonSQL.JS  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn open source graph database built for real-time streaming and compatible with Neo4jPort of SQLite to JavaScriptA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value storeDocument storeGraph DBMSRelational 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
Score0.74
Rank#220  Overall
#31  Key-value stores
Score4.47
Rank#76  Overall
#12  Document stores
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitegithub.com/­boltdb/­boltcloud.google.com/­datastorememgraph.comsql.js.orgwww.teradata.com
Technical documentationcloud.google.com/­datastore/­docsmemgraph.com/­docssql.js.org/­documentation/­index.htmldocs.teradata.com
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperGoogleMemgraph LtdAlon Zakai infoenhancements implemented by othersTeradata
Initial release20132008201720121984
Current releaseTeradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++JavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinuxserver-less, requires a JavaScript environment (browser, Node.js)hosted
Linux
Data schemeschema-freeschema-freeschema-free and schema-optionalyesyes
Typing infopredefined data types such as float or datenoyes, details hereyesyesyes
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.nonononoyes
Secondary indexesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoSQL-like query language (GQL)noyes infoSQL-92 is not fully supportedyes infoSQL 2016 + extensions
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Bolt protocol
Cypher query language
JavaScript API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
JavaScriptC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnousing Google App Enginenoyes infoUDFs, stored procedures, table functions in parallel
TriggersnoCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infodynamic graph partitioningnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosMulti-source replication using RAFTnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyes inforelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infowith snapshot isolationACIDACID
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 changesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissionsnofine grained access rights according to SQL-standard
More information provided by the system vendor
BoltDBGoogle Cloud DatastoreMemgraphSQL.JSTeradata
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
BoltDBGoogle Cloud DatastoreMemgraphSQL.JSTeradata
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