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

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

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHazelcast  Xexclude from comparisonTarantool  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionConverged 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.A widely adopted in-memory data gridIn-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 modelDocument store
Graph DBMS
Time Series DBMS
Key-value store
Wide column store
Key-value storeDocument store
Key-value store
Relational DBMS
Multivalue DBMS
Secondary database modelsSpatial DBMSDocument 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
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
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitebangdb.comcloud.google.com/­bigtablehazelcast.comwww.tarantool.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.bangdb.comcloud.google.com/­bigtable/­docshazelcast.org/­imdg/­docswww.tarantool.io/­en/­docdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperSachin Sinha, BangDBGoogleHazelcastVKRocket Software
Initial release20122015200820081985
Current releaseBangDB 2.0, October 20215.3.6, November 20232.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprisecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++JavaC and C++C
Server operating systemsLinuxhostedAll OS with a Java VMBSD
Linux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columnsschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesstring, 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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyesyes
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like query languageFull-featured ANSI SQL supportyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
Memcached protocol
RESTful HTTP API
Open binary protocolJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C#
C++
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnonoyes infoEvent Listeners, Executor ServicesLua, C and SQL stored proceduresyes
Triggersyes, Notifications (with Streaming only)noyes infoEventsyes, before/after data modification events, on replication events, client session eventsyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingSharding, 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 nodesselectable replication factor, Knob for CAP (enterprise version only)Internal replication in Colossus, and regional replication between two clusters in different zonesyes infoReplicated MapAsynchronous 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 methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmCasual 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 dataACIDAtomic single-row operationsone or two-phase-commit; repeatable reads; read commitedACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenoyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlyes (enterprise version only)Access 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
BangdbGoogle Cloud BigtableHazelcastTarantoolUniData,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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