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DBMS > Apache Impala vs. Blazegraph vs. Google Cloud Bigtable vs. Google Cloud Firestore vs. H2GIS

System Properties Comparison Apache Impala vs. Blazegraph vs. Google Cloud Bigtable vs. Google Cloud Firestore vs. H2GIS

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBlazegraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonH2GIS  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionAnalytic DBMS for HadoopHigh-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.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Spatial extension of H2
Primary database modelRelational DBMSGraph DBMS
RDF store
Key-value store
Wide column store
Document storeSpatial DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.77
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score8.96
Rank#48  Overall
#8  Document stores
Score0.05
Rank#372  Overall
#7  Spatial DBMS
Websiteimpala.apache.orgblazegraph.comcloud.google.com/­bigtablefirebase.google.com/­products/­firestorewww.h2gis.org
Technical documentationimpala.apache.org/­impala-docs.htmlwiki.blazegraph.comcloud.google.com/­bigtable/­docsfirebase.google.com/­docs/­firestorewww.h2gis.org/­docs/­home
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBlazegraphGoogleGoogleCNRS
Initial release20132006201520172013
Current release4.1.0, June 20222.1.5, March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoextended commercial license availablecommercialcommercialOpen Source infoLGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemsLinuxLinux
OS X
Windows
hostedhosted
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesnoyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSPARQL is used as query languagenonoyes
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnoyes, Firebase Rules & Cloud Functionsyes infobased on H2
Triggersnononoyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationyes infobased on H2
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate 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 integritynoyes infoRelationships in Graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsyesACID
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes infobased on H2

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More resources
Apache ImpalaBlazegraphGoogle Cloud BigtableGoogle Cloud FirestoreH2GIS
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