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DBMS > Amazon DocumentDB vs. Hawkular Metrics vs. Kyligence Enterprise vs. Manticore Search vs. XTDB

System Properties Comparison Amazon DocumentDB vs. Hawkular Metrics vs. Kyligence Enterprise vs. Manticore Search vs. XTDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonManticore Search  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A distributed analytics engine for big data, built on top of Apache KylinMulti-storage database for search, including full-text search.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument storeTime Series DBMSRelational DBMSSearch engineDocument store
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
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score0.11
Rank#343  Overall
#46  Document stores
Websiteaws.amazon.com/­documentdbwww.hawkular.orgkyligence.io/­kyligence-enterprisemanticoresearch.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidemanual.manticoresearch.comwww.xtdb.com/­docs
DeveloperCommunity supported by Red HatKyligence, Inc.Manticore SoftwareJuxt Ltd.
Initial release20192014201620172019
Current release6.0, February 20231.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoGPL version 2Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Clojure
Server operating systemshostedLinux
OS X
Windows
LinuxFreeBSD
Linux
macOS
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes, extensible-data-notation format
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 indexesyesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoANSI SQL for queries (using Apache Calcite)SQL-like query languagelimited SQL, making use of Apache Calcite
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP RESTJDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST
JDBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Clojure
Java
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersnoyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infobased on CassandraSynchronous replication based on Galera libraryyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesnono

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More resources
Amazon DocumentDBHawkular MetricsKyligence EnterpriseManticore SearchXTDB infoformerly named Crux
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