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DBMS > Amazon DocumentDB vs. Datomic vs. Hawkular Metrics vs. HEAVY.AI vs. Manticore Search

System Properties Comparison Amazon DocumentDB vs. Datomic vs. Hawkular Metrics vs. HEAVY.AI vs. Manticore Search

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDatomic  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMulti-storage database for search, including full-text search.
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMSTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Websiteaws.amazon.com/­documentdbwww.datomic.comwww.hawkular.orggithub.com/­heavyai/­heavydb
www.heavy.ai
manticoresearch.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.datomic.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.heavy.aimanual.manticoresearch.com
DeveloperCognitectCommunity supported by Red HatHEAVY.AI, Inc.Manticore Software
Initial release20192012201420162017
Current release1.0.6735, June 20235.10, January 20226.0, February 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoGPL version 2
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 languageJava, ClojureJavaC++ and CUDAC++
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
LinuxFreeBSD
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeyesFixed schema
Typing infopredefined data types such as float or dateyesyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.nonononoCan index from XML
Secondary indexesyesyesnonoyes infofull-text index on all search fields
SQL infoSupport of SQLnononoyesSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIHTTP RESTJDBC
ODBC
Thrift
Vega
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
Java
Go
Java
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnonouser defined functions
TriggersnoBy using transaction functionsyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersSharding infobased on CassandraSharding infoRound robinSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnone infoBut extensive use of caching in the application peersselectable replication factor infobased on CassandraMulti-source replicationSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnonoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlAccess rights for users and rolesnonofine grained access rights according to SQL-standardno

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More resources
Amazon DocumentDBDatomicHawkular MetricsHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Manticore Search
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