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DBMS > Google Cloud Bigtable vs. H2 vs. Prometheus vs. TinkerGraph vs. XTDB

System Properties Comparison Google Cloud Bigtable vs. H2 vs. Prometheus vs. TinkerGraph vs. XTDB

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonH2  Xexclude from comparisonPrometheus  Xexclude from comparisonTinkerGraph  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Open-source Time Series DBMS and monitoring systemA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Wide column store
Relational DBMSTime Series DBMSGraph DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitecloud.google.com/­bigtablewww.h2database.comprometheus.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlingithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcloud.google.com/­bigtable/­docswww.h2database.com/­html/­main.htmlprometheus.io/­docswww.xtdb.com/­docs
DeveloperGoogleThomas MuellerJuxt Ltd.
Initial release20152005201520092019
Current release2.2.220, July 20231.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaClojure
Server operating systemshostedAll OS with a Java VMLinux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesNumeric data onlyyesyes, extensible-data-notation format
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.nonono infoImport of XML data possiblenono
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLnoyesnonolimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
RESTful HTTP/JSON APITinkerPop 3HTTP REST
JDBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Java.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Groovy
Java
Clojure
Java
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsnonono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoby Federationnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistencynonenone
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesnoyes
Durability infoSupport for making data persistentyesyesyesoptionalyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardnono

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More resources
Google Cloud BigtableH2PrometheusTinkerGraphXTDB infoformerly named Crux
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