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DBMS > Amazon Aurora vs. etcd vs. eXtremeDB vs. HugeGraph vs. ToroDB

System Properties Comparison Amazon Aurora vs. etcd vs. eXtremeDB vs. HugeGraph vs. ToroDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA distributed reliable key-value storeNatively in-memory DBMS with options for persistency, high-availability and clusteringA fast-speed and highly-scalable Graph DBMSA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSKey-value storeRelational DBMS
Time Series DBMS
Graph DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websiteaws.amazon.com/­rds/­auroraetcd.io
github.com/­etcd-io/­etcd
www.mcobject.comgithub.com/­hugegraph
hugegraph.apache.org
github.com/­torodb/­server
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htmhugegraph.apache.org/­docs
DeveloperAmazonMcObjectBaidu8Kdata
Initial release2015200120182016
Current release3.4, August 20198.2, 20210.9
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++JavaJava
Server operating systemshostedFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Unix
All OS with a Java 7 VM
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes infostring, integer, double, boolean, date, object_id
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.yesnono infosupport of XML interfaces availablenono
Secondary indexesyesnoyesyes infoalso supports composite index and range index
SQL infoSupport of SQLyesnoyes infowith the option: eXtremeSQLno
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
JSON over HTTP
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
Groovy
Java
Python
Server-side scripts infoStored proceduresyesnoyesasynchronous Gremlin script jobs
Triggersyesyes, watching key changesyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning / shardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers, roles and permissionsAccess rights for users and roles
More information provided by the system vendor
Amazon AuroraetcdeXtremeDBHugeGraphToroDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon AuroraetcdeXtremeDBHugeGraphToroDB
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