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DBMS > Altibase vs. Amazon DocumentDB vs. Lovefield vs. Manticore Search vs. Yaacomo

System Properties Comparison Altibase vs. Amazon DocumentDB vs. Lovefield vs. Manticore Search vs. Yaacomo

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonLovefield  Xexclude from comparisonManticore Search  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAn enterprise grade, high-performance RDBMSFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEmbeddable relational database for web apps written in pure JavaScriptMulti-storage database for search, including full-text search.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument storeRelational DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score1.91
Rank#132  Overall
#24  Document stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Websitealtibase.comaws.amazon.com/­documentdbgoogle.github.io/­lovefieldmanticoresearch.comyaacomo.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsaws.amazon.com/­documentdb/­resourcesgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmanual.manticoresearch.com
DeveloperAltibaseGoogleManticore SoftwareQ2WEB GmbH
Initial release19992019201420172009
Current releasev7.3, 2023, August 20232.1.12, February 20176.0, February 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoApache 2.0Open Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScriptC++
Server operating systemsAIX
HP-UX
Linux
hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
macOS
Windows
Android
Linux
Windows
Data schemeyesschema-freeyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nononoCan index from XMLno
Secondary indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLANSI SQL-92noSQL-like query language infovia JavaScript builder patternSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
proprietary protocol using JSON (MongoDB compatible)Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
Supported programming languagesC
C++
Java
Go
Java
JavaScript (Node.js)
PHP
Python
JavaScriptElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsnonouser defined functions
TriggersyesnoUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneSynchronous replication based on Galera librarySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possibleyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesnonofine grained access rights according to SQL-standard

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More resources
AltibaseAmazon DocumentDBLovefieldManticore SearchYaacomo
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