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DBMS > Amazon DocumentDB vs. Databend vs. Hawkular Metrics vs. Manticore Search vs. Oracle Berkeley DB

System Properties Comparison Amazon DocumentDB vs. Databend vs. Hawkular Metrics vs. Manticore Search vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDatabend  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonManticore Search  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityHawkular 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.Widely used in-process key-value store
Primary database modelDocument storeRelational DBMSTime Series DBMSSearch engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
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
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­datafuselabs/­databend
www.databend.com
www.hawkular.orgmanticoresearch.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.databend.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidemanual.manticoresearch.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperDatabend LabsCommunity supported by Red HatManticore SoftwareOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20192021201420171994
Current release1.0.59, April 20236.0, February 202318.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPL version 2Open Source infocommercial license available
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 languageRustJavaC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedhosted
Linux
macOS
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeyesschema-freeFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanno
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 XMLyes infoonly with the Berkeley DB XML edition
Secondary indexesyesnonoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyesnoSQL-like query languageyes infoSQL interfaced based on SQLite is available
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)CLI Client
JDBC
RESTful HTTP API
HTTP RESTBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
JavaScript (Node.js)
Python
Rust
Go
Java
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnononouser defined functionsno
Triggersnonoyes infovia Hawkular Alertingnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding 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 replicasnoneselectable replication factor infobased on CassandraSynchronous replication based on Galera librarySource-replica replication
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
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 operationsyesnoyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyes
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization concept, user rolesnonono

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More resources
Amazon DocumentDBDatabendHawkular MetricsManticore SearchOracle Berkeley DB
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