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DBMS > Amazon CloudSearch vs. H2 vs. Memgraph vs. Teradata vs. YottaDB

System Properties Comparison Amazon CloudSearch vs. H2 vs. Memgraph vs. Teradata vs. YottaDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonH2  Xexclude from comparisonMemgraph  Xexclude from comparisonTeradata  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An open source graph database built for real-time streaming and compatible with Neo4jA hybrid cloud data analytics software platform (Teradata Vantage)A fast and solid embedded Key-value store
Primary database modelSearch engineRelational DBMSGraph DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websiteaws.amazon.com/­cloudsearchwww.h2database.commemgraph.comwww.teradata.comyottadb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.h2database.com/­html/­main.htmlmemgraph.com/­docsdocs.teradata.comyottadb.com/­resources/­documentation
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperAmazonThomas MuellerMemgraph LtdTeradataYottaDB, LLC
Initial release20122005201719842001
Current release2.2.220, July 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSL 1.1; commercial license for enterprise edition availablecommercialOpen Source infoAGPL 3.0
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 languageJavaC and C++C
Server operating systemshostedAll OS with a Java VMLinuxhosted
Linux
Docker
Linux
Data schemeyesyesschema-free and schema-optionalyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesno
Secondary indexesyes infoall search fields are automatically indexedyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexno
SQL infoSupport of SQLnoyesnoyes infoSQL 2016 + extensionsby using the Octo plugin
APIs and other access methodsHTTP APIJDBC
ODBC
Bolt protocol
Cypher query language
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesJava.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding infodynamic graph partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication using RAFTMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infowith snapshot isolationACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
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.yesyesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardUsers, roles and permissionsfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms
More information provided by the system vendor
Amazon CloudSearchH2MemgraphTeradataYottaDB
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Amazon CloudSearchH2MemgraphTeradataYottaDB
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