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DBMS > Amazon CloudSearch vs. Google BigQuery vs. Memgraph vs. Riak TS vs. Teradata

System Properties Comparison Amazon CloudSearch vs. Google BigQuery vs. Memgraph vs. Riak TS vs. Teradata

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMemgraph  Xexclude from comparisonRiak TS  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudLarge scale data warehouse service with append-only tablesA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSearch engineRelational DBMSGraph DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.54
Rank#110  Overall
#10  Search engines
Score32.60
Rank#24  Overall
#15  Relational DBMS
Score0.08
Rank#302  Overall
#27  Graph DBMS
Score0.32
Rank#252  Overall
#18  Time Series DBMS
Score76.78
Rank#14  Overall
#9  Relational DBMS
Websiteaws.amazon.com/­cloudsearchcloud.google.com/­bigquerymemgraph.comriak.com/­products/­riak-tswww.teradata.com
Technical documentationdocs.aws.amazon.com/­cloudsearchcloud.google.com/­bigquery/­docsdocs.memgraph.comdocs.teradata.com
DeveloperAmazonGoogleMemgraph LtdBasho TechnologiesTeradata
Initial release20122010201720151984
Current releaseTeradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree license availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Erlang
Server operating systemshostedhostedLinuxLinux
OS X
hosted
Linux
Data schemeyesyesschema-free and schema-optionalschema-freeyes
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.nononoyes
Secondary indexesyes infoall search fields are automatically indexednorestrictedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyesnonoyes infoSQL 2016 + extensions
APIs and other access methodsHTTP APIRESTful HTTP/JSON APIBolt protocol
Cypher query language
HTTP API
Native Erlang Interface
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptJavaScript and Erlangyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding infodynamic graph partitioningShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication using RAFTselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACID infowith snapshot isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Users, roles and permissionsnofine grained access rights according to SQL-standard

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Amazon CloudSearchGoogle BigQueryMemgraphRiak TSTeradata
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