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DBMS > Blazegraph vs. Google Cloud Bigtable vs. GridGain vs. HarperDB

System Properties Comparison Blazegraph vs. Google Cloud Bigtable vs. GridGain vs. HarperDB

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGridGain  Xexclude from comparisonHarperDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.GridGain is an in-memory computing platform, built on Apache IgniteUltra-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.
Primary database modelGraph DBMS
RDF store
Key-value store
Wide column store
Key-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Websiteblazegraph.comcloud.google.com/­bigtablewww.gridgain.comwww.harperdb.io
Technical documentationwiki.blazegraph.comcloud.google.com/­bigtable/­docswww.gridgain.com/­docs/­index.htmldocs.harperdb.io/­docs
DeveloperBlazegraphGoogleGridGain Systems, Inc.HarperDB
Initial release2006201520072017
Current release2.1.5, March 2019GridGain 8.5.13.1, August 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercialcommercial infofree community edition available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetNode.js
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
Linux
OS X
Data schemeschema-freeschema-freeyesdynamic schema
Typing infopredefined data types such as float or dateyes infoRDF literal typesnoyesyes infoJSON 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.noyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoANSI-99 for query and DML statements, subset of DDLSQL-like data manipulation statements
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
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 proceduresyesnoyes (compute grid and cache interceptors can be used instead)Custom Functions infosince release 3.1
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesyes (replicated cache)yes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsAccess rights for users and roles

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More resources
BlazegraphGoogle Cloud BigtableGridGainHarperDB
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