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DBMS > Google Cloud Bigtable vs. Memcached vs. Sadas Engine vs. TypeDB

System Properties Comparison Google Cloud Bigtable vs. Memcached vs. Sadas Engine vs. TypeDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMemcached  Xexclude from comparisonSadas Engine  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.In-memory key-value store, originally intended for cachingSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelKey-value store
Wide column store
Key-value storeRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.26
Rank#86  Overall
#14  Key-value stores
#6  Wide column stores
Score24.95
Rank#33  Overall
#4  Key-value stores
Score0.00
Rank#354  Overall
#152  Relational DBMS
Score0.67
Rank#210  Overall
#18  Graph DBMS
#101  Relational DBMS
Websitecloud.google.com/­bigtablewww.memcached.orgwww.sadasengine.comvaticle.com
Technical documentationcloud.google.com/­bigtable/­docsgithub.com/­memcached/­memcached/­wikiwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbdocs.vaticle.com
DeveloperGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSADAS s.r.l.Vaticle (formerly Grakn Labs)
Initial release2015200320062016
Current release1.6.15, March 20228.02.8.1, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercial infofree trial version availableOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Java
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyes
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.nonono
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary protocolJDBC
ODBC
Proprietary protocol
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnone infoRepcached, a Memcached patch, provides this functionallitynoneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users, groups and roles according to SQL-standardyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Google Cloud BigtableMemcachedSadas EngineTypeDB infoformerly named Grakn
Specific characteristicsMeet TypeDB (and TypeQL ) TypeDB is a strongly-typed database with a rich and logical...
» more
Competitive advantagesEntity-Relationship Model TypeDB allows you to model your domain using the well-known...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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More resources
Google Cloud BigtableMemcachedSadas EngineTypeDB infoformerly named Grakn
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