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DBMS > Amazon DocumentDB vs. Datomic vs. EXASOL vs. Hawkular Metrics vs. Manticore Search

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

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDatomic  Xexclude from comparisonEXASOL  Xexclude from comparisonHawkular Metrics  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 durabilityHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Multi-storage database for search, including full-text search.
Primary database modelDocument storeRelational DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsTime 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
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Websiteaws.amazon.com/­documentdbwww.datomic.comwww.exasol.comwww.hawkular.orgmanticoresearch.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.datomic.comwww.exasol.com/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidemanual.manticoresearch.com
DeveloperCognitectExasolCommunity supported by Red HatManticore Software
Initial release20192012200020142017
Current release1.0.6735, June 20236.0, February 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoApache 2.0Open Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC++
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-freeFixed 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 indexesyesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyesnoSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP API.Net
JDBC
ODBC
WebSocket
HTTP RESTBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
Java
Java
Lua
Python
R
Go
Java
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsuser defined functionsnouser defined functions
TriggersnoBy using transaction functionsyesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingSharding infobased on CassandraSharding 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 CassandraSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDnoyes 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 developmentyesno
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users, groups and roles according to SQL-standardnono

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More resources
Amazon DocumentDBDatomicEXASOLHawkular MetricsManticore Search
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