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DBMS > AgensGraph vs. Alibaba Cloud MaxCompute vs. Elasticsearch vs. Hawkular Metrics vs. Splice Machine

System Properties Comparison AgensGraph vs. Alibaba Cloud MaxCompute vs. Elasticsearch vs. Hawkular Metrics vs. Splice Machine

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAlibaba Cloud MaxCompute  Xexclude from comparisonElasticsearch  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS infoa graph-processing framework is available with the graphs being stored in tablesSearch engineTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitebitnine.net/­agensgraphwww.alibabacloud.com/­product/­maxcomputewww.elastic.co/­elasticsearchwww.hawkular.orgsplicemachine.com
Technical documentationbitnine.net/­documentationwww.alibabacloud.com/­help/­en/­maxcomputewww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidesplicemachine.com/­how-it-works
DeveloperBitnine Global Inc.AlibabaElasticCommunity supported by Red HatSplice Machine
Initial release20162016201020142014
Current release2.1, December 20188.6, January 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoElastic LicenseOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJavaJava
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyesnoyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like query languagenoyes
APIs and other access methodsCypher Query Language
JDBC
Fluentd
Flume
MaxCompute Console
Java API
RESTful HTTP/JSON API
HTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
Java
JavaScript
Python
Java.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesuser defined functions infoin Javayesnoyes infoJava
Triggersnonoyes infoby using the 'percolation' featureyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoImplicit feature of the cloud serviceShardingSharding infobased on CassandraShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceyesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesES-Hadoop ConnectornoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.nonoMemcached and Redis integrationnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesnoAccess rights for users, groups and roles according to SQL-standard

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AgensGraphAlibaba Cloud MaxComputeElasticsearchHawkular MetricsSplice Machine
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