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DBMS > AnzoGraph DB vs. GigaSpaces vs. HarperDB vs. Yaacomo

System Properties Comparison AnzoGraph DB vs. GigaSpaces vs. HarperDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHarperDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMS
RDF store
Document store
Object oriented DBMS infoValues are user defined objects
Document storeRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Websitecambridgesemantics.com/­anzographwww.gigaspaces.comwww.harperdb.ioyaacomo.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.gigaspaces.com/­latest/­landing.htmldocs.harperdb.io/­docs
DeveloperCambridge SemanticsGigaspaces TechnologiesHarperDBQ2WEB GmbH
Initial release2018200020172009
Current release2.3, January 202115.5, September 20203.1, August 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2; Commercial licenses availablecommercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetNode.js
Server operating systemsLinuxLinux
macOS
Solaris
Windows
Linux
OS X
Android
Linux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freedynamic schemayes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-99 for query and DML statementsSQL-like data manipulation statementsyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Supported programming languagesC++
Java
Python
.Net
C++
Java
Python
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesCustom Functions infosince release 3.1
Triggersnoyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infothe nodes on which a table resides can be definedSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBGigaSpacesHarperDBYaacomo
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