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DBMS > Google Cloud Bigtable vs. Hazelcast vs. SQream DB vs. Tarantool vs. UniData,UniVerse

System Properties Comparison Google Cloud Bigtable vs. Hazelcast vs. SQream DB vs. Tarantool vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHazelcast  Xexclude from comparisonSQream DB  Xexclude from comparisonTarantool  Xexclude from comparisonUniData,UniVerse  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.A widely adopted in-memory data grida GPU-based, columnar RDBMS for big data analytics workloadsIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value store
Wide column store
Key-value storeRelational DBMSDocument store
Key-value store
Relational DBMS
Multivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS infowith Tarantool/GIS extension
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
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitecloud.google.com/­bigtablehazelcast.comsqream.comwww.tarantool.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationcloud.google.com/­bigtable/­docshazelcast.org/­imdg/­docsdocs.sqream.comwww.tarantool.io/­en/­docdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperGoogleHazelcastSQream TechnologiesVKRocket Software
Initial release20152008201720081985
Current release5.3.6, November 20232022.1.6, December 20222.10.0, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprisecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, CUDA, Haskell, Java, ScalaC and C++C
Server operating systemshostedAll OS with a Java VMLinuxBSD
Linux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columnsschema-free
Typing infopredefined data types such as float or datenoyesyes, ANSI Standard SQL Typesstring, double, decimal, uuid, integer, blob, boolean, datetimeoptional
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.noyes infothe object must implement a serialization strategyno
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoSQL-like query languageyesFull-featured ANSI SQL supportyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
Memcached protocol
RESTful HTTP API
.Net
JDBC
ODBC
Open binary protocolJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesuser defined functions in PythonLua, C and SQL stored proceduresyes
Triggersnoyes infoEventsnoyes, before/after data modification events, on replication events, client session eventsyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal and vertical partitioningSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoReplicated MapnoneAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsone or two-phase-commit; repeatable reads; read commitedACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyesyesyes, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Access rights according to SQL-standard and operating system based

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More resources
Google Cloud BigtableHazelcastSQream DBTarantoolUniData,UniVerse
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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