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DBMS > Amazon CloudSearch vs. H2 vs. Hypertable vs. SurrealDB

System Properties Comparison Amazon CloudSearch vs. H2 vs. Hypertable vs. SurrealDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonH2  Xexclude from comparisonHypertable  Xexclude from comparisonSurrealDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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 BigTable implementation based on distributed file systems such as HadoopA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelSearch engineRelational DBMSWide column storeDocument store
Graph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websiteaws.amazon.com/­cloudsearchwww.h2database.comsurrealdb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.h2database.com/­html/­main.htmlsurrealdb.com/­docs
DeveloperAmazonThomas MuellerHypertable Inc.SurrealDB Ltd
Initial release2012200520092022
Current release2.2.220, July 20230.9.8.11, March 2016v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGNU version 3. Commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Rust
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.no
Secondary indexesyes infoall search fields are automatically indexedyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnoyesnoSQL-like query language
APIs and other access methodsHTTP APIJDBC
ODBC
C++ API
Thrift
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesJavaC++
Java
Perl
PHP
Python
Ruby
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding
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 databaseselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardnoyes, based on authentication and database rules

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More resources
Amazon CloudSearchH2HypertableSurrealDB
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