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DBMS > AnzoGraph DB vs. dBASE vs. GeoMesa vs. Google Cloud Bigtable vs. Hazelcast

System Properties Comparison AnzoGraph DB vs. dBASE vs. GeoMesa vs. Google Cloud Bigtable vs. Hazelcast

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisondBASE  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A widely adopted in-memory data grid
Primary database modelGraph DBMS
RDF store
Relational DBMSSpatial DBMSKey-value store
Wide column store
Key-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitecambridgesemantics.com/­anzographwww.dbase.comwww.geomesa.orgcloud.google.com/­bigtablehazelcast.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.dbase.com/­support/­knowledgebasewww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­bigtable/­docshazelcast.org/­imdg/­docs
DeveloperCambridge SemanticsAsthon TateCCRi and othersGoogleHazelcast
Initial release20181979201420152008
Current release2.3, January 2021dBASE 2019, 20194.0.5, February 20245.3.6, November 2023
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2; commercial licenses available
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 languageScalaJava
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
hostedAll OS with a Java VM
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononoyes infothe object must implement a serialization strategy
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nononoSQL-like query language
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
none infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC++
Java
Python
dBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesno infoThe IDE can access stored procedures in other database systems.nonoyes infoEvent Listeners, Executor Services
Triggersnonononoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonedepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternonedepending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-Clusterdepending on storage layerImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityno infonot needed in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoAtomic single-row operationsone or two-phase-commit; repeatable reads; read commited
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.yesdepending on storage layernoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control

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More resources
AnzoGraph DBdBASEGeoMesaGoogle Cloud BigtableHazelcast
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