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DBMS > Altibase vs. Hawkular Metrics vs. jBASE vs. Microsoft Azure Cosmos DB vs. Transwarp Hippo

System Properties Comparison Altibase vs. Hawkular Metrics vs. jBASE vs. Microsoft Azure Cosmos DB vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonjBASE  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A robust multi-value DBMS comprising development tools and middlewareGlobally distributed, horizontally scalable, multi-model database serviceCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSTime Series DBMSMultivalue DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Vector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websitealtibase.comwww.hawkular.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseazure.microsoft.com/­services/­cosmos-dbwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9learn.microsoft.com/­azure/­cosmos-db
DeveloperAltibaseCommunity supported by Red HatRocket Software (formerly Zumasys)Microsoft
Initial release19992014199120142023
Current releasev7.3, 2023, August 20235.71.0, May 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemsAIX
HP-UX
Linux
Linux
OS X
Windows
AIX
Linux
Windows
hostedLinux
macOS
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesoptionalyes infoJSON typesVector, 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.nonoyesno
Secondary indexesyesnoyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLANSI SQL-92noEmbedded SQL for jBASE in BASICSQL-like query languageno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
HTTP RESTJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP API
Supported programming languagesC
C++
Java
Go
Java
Python
Ruby
.Net
Basic
Jabbascript
Java
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++
Java
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyesJavaScriptno
Triggersyesyes infovia Hawkular AlertingyesJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights can be defined down to the item levelAccess rights can be defined down to the item levelRole based access control and fine grained access rights

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More resources
AltibaseHawkular MetricsjBASEMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTranswarp Hippo
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