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DBMS > AnzoGraph DB vs. Bangdb vs. Google Cloud Bigtable vs. H2GIS vs. TinkerGraph

System Properties Comparison AnzoGraph DB vs. Bangdb vs. Google Cloud Bigtable vs. H2GIS vs. TinkerGraph

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBangdb  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonH2GIS  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationConverged and high performance database for device data, events, time series, document and graphGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Spatial extension of H2A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelGraph DBMS
RDF store
Document store
Graph DBMS
Time Series DBMS
Key-value store
Wide column store
Spatial DBMSGraph DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitecambridgesemantics.com/­anzographbangdb.comcloud.google.com/­bigtablewww.h2gis.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.bangdb.comcloud.google.com/­bigtable/­docswww.h2gis.org/­docs/­home
DeveloperCambridge SemanticsSachin Sinha, BangDBGoogleCNRS
Initial release20182012201520132009
Current release2.3, January 2021BangDB 2.0, October 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoBSD 3commercialOpen Source infoLGPL 3.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaJava
Server operating systemsLinuxLinuxhosted
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesyes
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.nonononono
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialnoyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL like support with command line toolnoyesno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Proprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
TinkerPop 3
Supported programming languagesC++
Java
Python
C
C#
C++
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaGroovy
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoyes infobased on H2no
Triggersnoyes, Notifications (with Streaming only)noyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factor, Knob for CAP (enterprise version only)Internal replication in Colossus, and regional replication between two clusters in different zonesyes infobased on H2none
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterTunable consistency, set CAP knob accordinglyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistencynone
Foreign keys infoReferential integrityno infonot needed in graphsnonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes, multi-version concurrency control (MVCC)no
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modenoyesyes
User concepts infoAccess controlAccess rights for users and rolesyes (enterprise version only)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infobased on H2no

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More resources
AnzoGraph DBBangdbGoogle Cloud BigtableH2GISTinkerGraph
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