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DBMS > Amazon DocumentDB vs. Hawkular Metrics vs. Manticore Search vs. Splice Machine vs. Transwarp Hippo

System Properties Comparison Amazon DocumentDB vs. Hawkular Metrics vs. Manticore Search vs. Splice Machine vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonManticore Search  Xexclude from comparisonSplice Machine  Xexclude from comparisonTranswarp Hippo  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.Multi-storage database for search, including full-text search.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelDocument storeTime Series DBMSSearch engineRelational DBMSVector DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websiteaws.amazon.com/­documentdbwww.hawkular.orgmanticoresearch.comsplicemachine.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationaws.amazon.com/­documentdb/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidemanual.manticoresearch.comsplicemachine.com/­how-it-works
DeveloperCommunity supported by Red HatManticore SoftwareSplice Machine
Initial release20192014201720142023
Current release6.0, February 20233.1, March 20211.0, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version 2Open Source infoAGPL 3.0, commercial license availablecommercial
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 languageJavaC++JavaC++
Server operating systemshostedLinux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanyesVector, Numeric and String
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.nonoCan index from XMLno
Secondary indexesyesnoyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLnonoSQL-like query languageyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP RESTBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
Native Spark Datasource
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Python
Server-side scripts infoStored proceduresnonouser defined functionsyes infoJavano
Triggersnoyes infovia Hawkular Alertingnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar PartitioningSharding
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 libraryMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyesno
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 writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users and rolesnonoAccess rights for users, groups and roles according to SQL-standardRole based access control and fine grained access rights

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More resources
Amazon DocumentDBHawkular MetricsManticore SearchSplice MachineTranswarp Hippo
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