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DBMS > Amazon Aurora vs. BigchainDB vs. Google Cloud Datastore vs. QuestDB vs. TempoIQ

System Properties Comparison Amazon Aurora vs. BigchainDB vs. Google Cloud Datastore vs. QuestDB vs. TempoIQ

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBigchainDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonQuestDB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA high performance open source SQL database for time series dataScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSDocument storeDocument storeTime Series DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score4.47
Rank#76  Overall
#12  Document stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websiteaws.amazon.com/­rds/­aurorawww.bigchaindb.comcloud.google.com/­datastorequestdb.iotempoiq.com (offline)
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­datastore/­docsquestdb.io/­docs
DeveloperAmazonGoogleQuestDB Technology IncTempoIQ
Initial release20152016200820142012
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJava (Zero-GC), C++, Rust
Server operating systemshostedLinuxhostedLinux
macOS
Windows
Data schemeyesschema-freeschema-freeyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesnoyes, details hereyesyes
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.yesnononono
Secondary indexesyesyesno
SQL infoSupport of SQLyesnoSQL-like query language (GQL)SQL with time-series extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
CLI Client
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyesusing Google App Enginenono
TriggersyesCallbacks using the Google Apps Enginenoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication using PaxosSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 Consistency
Foreign keys infoReferential integrityyesnoyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infothrough memory mapped filesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple authentication-based access control
More information provided by the system vendor
Amazon AuroraBigchainDBGoogle Cloud DatastoreQuestDBTempoIQ infoformerly TempoDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» 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 AuroraBigchainDBGoogle Cloud DatastoreQuestDBTempoIQ infoformerly TempoDB
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