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DBMS > AgensGraph vs. Hazelcast vs. Hive vs. Ingres vs. Microsoft Azure Data Explorer

System Properties Comparison AgensGraph vs. Hazelcast vs. Hive vs. Ingres vs. Microsoft Azure Data Explorer

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonHazelcast  Xexclude from comparisonHive  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA widely adopted in-memory data griddata warehouse software for querying and managing large distributed datasets, built on HadoopWell established RDBMSFully managed big data interactive analytics platform
Primary database modelGraph DBMS
Relational DBMS
Key-value storeRelational DBMSRelational DBMSRelational DBMS infocolumn oriented
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Websitebitnine.net/­agensgraphhazelcast.comhive.apache.orgwww.actian.com/­databases/­ingresazure.microsoft.com/­services/­data-explorer
Technical documentationbitnine.net/­documentationhazelcast.org/­imdg/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.actian.com/­ingresdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperBitnine Global Inc.HazelcastApache Software Foundation infoinitially developed by FacebookActian CorporationMicrosoft
Initial release2016200820121974 infooriginally developed at University Berkely in early 1970s2019
Current release2.1, December 20185.3.6, November 20233.1.3, April 202211.2, May 2022cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJavaC
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hosted
Data schemedepending on used data modelschema-freeyesyesFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesyesyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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 infothe object must implement a serialization strategyno infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesyesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLyesSQL-like query languageSQL-like DML and DDL statementsyesKusto Query Language (KQL), SQL subset
APIs and other access methodsCypher Query Language
JDBC
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresyesyes infoEvent Listeners, Executor Servicesyes infouser defined functions and integration of map-reduceyesYes, possible languages: KQL, Python, R
Triggersnoyes infoEventsnoyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated Mapselectable replication factorIngres Replicatoryes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReducenoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
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.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAzure Active Directory Authentication

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AgensGraphHazelcastHiveIngresMicrosoft Azure Data Explorer
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