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DBMS > Amazon CloudSearch vs. AnzoGraph DB vs. Google Cloud Bigtable vs. H2GIS vs. TDengine

System Properties Comparison Amazon CloudSearch vs. AnzoGraph DB vs. Google Cloud Bigtable vs. H2GIS vs. TDengine

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonH2GIS  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Spatial extension of H2Time Series DBMS and big data platform
Primary database modelSearch engineGraph DBMS
RDF store
Key-value store
Wide column store
Spatial DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Score2.48
Rank#107  Overall
#9  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchcambridgesemantics.com/­anzographcloud.google.com/­bigtablewww.h2gis.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcloud.google.com/­bigtable/­docswww.h2gis.org/­docs/­homedocs.tdengine.com
DeveloperAmazonCambridge SemanticsGoogleCNRSTDEngine, previously Taos Data
Initial release20122018201520132019
Current release2.3, January 20213.0, August 2022
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialOpen Source infoLGPL 3.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemshostedLinuxhostedLinux
Windows
Data schemeyesSchema-free and OWL/RDFS-schema supportschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyes infoall search fields are automatically indexednonoyesno
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.noyesStandard SQL with extensions for time-series applications
APIs and other access methodsHTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoyes infobased on H2no
Triggersnononoyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredAutomatic shardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication in MPP-ClusterInternal replication in Colossus, and regional replication between two clusters in different zonesyes infobased on H2yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.yesnoyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infobased on H2yes
More information provided by the system vendor
Amazon CloudSearchAnzoGraph DBGoogle Cloud BigtableH2GISTDengine
Specific characteristicsTDengine™ is a time-series database designed to help traditional industries overcome...
» more
Competitive advantagesHigh Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Typical application scenariosTDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more
Market metricsTDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more
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More resources
Amazon CloudSearchAnzoGraph DBGoogle Cloud BigtableH2GISTDengine
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