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DBMS > Amazon CloudSearch vs. EJDB vs. Hawkular Metrics vs. Oracle Berkeley DB vs. Warp 10

System Properties Comparison Amazon CloudSearch vs. EJDB vs. Hawkular Metrics vs. Oracle Berkeley DB vs. Warp 10

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEJDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Widely used in-process key-value storeTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSearch engineDocument storeTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.27
Rank#297  Overall
#44  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchgithub.com/­Softmotions/­ejdbwww.hawkular.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.warp10.io
Technical documentationdocs.aws.amazon.com/­cloudsearchgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperAmazonSoftmotionsCommunity supported by Red HatOracle infooriginally developed by Sleepycat, which was acquired by OracleSenX
Initial release20122012201419942015
Current release18.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoApache 2.0Open Source infocommercial license availableOpen Source infoApache License 2.0
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 languageCJavaC, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemshostedserver-lessLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesnoyes
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyes infoall search fields are automatically indexednonoyesno
SQL infoSupport of SQLnononoyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsHTTP APIin-process shared libraryHTTP RESTHTTP API
Jupyter
WebSocket
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
Python
Ruby
.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 proceduresnonononoyes infoWarpScript
Triggersnonoyes infovia Hawkular Alertingyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding infobased on CassandranoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneselectable replication factor infobased on CassandraSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlauthentication via encrypted signaturesnononoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Amazon CloudSearchEJDBHawkular MetricsOracle Berkeley DBWarp 10
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