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DBMS > AgensGraph vs. Alibaba Cloud MaxCompute vs. Datomic vs. etcd vs. Google Cloud Firestore

System Properties Comparison AgensGraph vs. Alibaba Cloud MaxCompute vs. Datomic vs. etcd vs. Google Cloud Firestore

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAlibaba Cloud MaxCompute  Xexclude from comparisonDatomic  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed reliable key-value storeCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Websitebitnine.net/­agensgraphwww.alibabacloud.com/­product/­maxcomputewww.datomic.cometcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestore
Technical documentationbitnine.net/­documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.datomic.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestore
DeveloperBitnine Global Inc.AlibabaCognitectGoogle
Initial release2016201620122017
Current release2.1, December 20181.0.6735, June 20233.4, August 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial infolimited edition freeOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, ClojureGo
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
hosted
Data schemedepending on used data modelyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyesSQL-like query languagenonono
APIs and other access methodsCypher Query Language
JDBC
Fluentd
Flume
MaxCompute Console
RESTful HTTP APIgRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
JavaClojure
Java
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresyesuser defined functions infoin Javayes infoTransaction Functionsnoyes, Firebase Rules & Cloud Functions
TriggersnonoBy using transaction functionsyes, watching key changesyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and developmentno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesnonoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
AgensGraphAlibaba Cloud MaxComputeDatomicetcdGoogle Cloud Firestore
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