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DBMS > AgensGraph vs. Google Cloud Bigtable vs. Memcached vs. Sadas Engine vs. XTDB

System Properties Comparison AgensGraph vs. Google Cloud Bigtable vs. Memcached vs. Sadas Engine vs. XTDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMemcached  Xexclude from comparisonSadas Engine  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLGoogle'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 environmentsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelGraph DBMS
Relational DBMS
Key-value store
Wide column store
Key-value storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitebitnine.net/­agensgraphcloud.google.com/­bigtablewww.memcached.orgwww.sadasengine.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationbitnine.net/­documentationcloud.google.com/­bigtable/­docsgithub.com/­memcached/­memcached/­wikiwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.xtdb.com/­docs
DeveloperBitnine Global Inc.GoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSADAS s.r.l.Juxt Ltd.
Initial release20162015200320062019
Current release2.1, December 20181.6.25, March 20248.01.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoBSD licensecommercial infofree trial version availableOpen Source infoMIT License
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 languageCCC++Clojure
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
OS X
Unix
Windows
AIX
Linux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemedepending on used data modelschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnonoyesyes, extensible-data-notation format
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 indexesyesnonoyesyes
SQL infoSupport of SQLyesnonoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsCypher Query Language
JDBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary protocolJDBC
ODBC
Proprietary protocol
HTTP REST
JDBC
Supported programming languagesC
Java
JavaScript
Python
C#
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
Clojure
Java
Server-side scripts infoStored proceduresyesnononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesnone infoRepcached, a Memcached patch, provides this functionallitynoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess 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-standard

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More resources
AgensGraphGoogle Cloud BigtableMemcachedSadas EngineXTDB infoformerly named Crux
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