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Original author(s)Kannan Muthukkaruppan, Karthik Ranganathan, Mikhail Bautin
Developer(s)Yugabyte, Inc.
Initial release2016; 8 years ago (2016)
Stable release
2.8 (Stable)
2.11 (Development) / November 18, 2021; 2 years ago (2021-11-18)
November 23, 2021; 2 years ago (2021-11-23)
Repository
Written inC++
Operating systemLinux RedHat 7.x and derivatives, MacOS
PlatformBare Metal, Virtual Machine, Docker, Kubernetes and various container management platroms
Available inEnglisch
TypRDBMS
LicenseApache 2.0
Websitewww.yugabyte.com Edit this on Wikidata
Yugabyte, Inc.
Company typePrivate
IndustrieSoftware
Gegründet2016; 8 years ago (2016)
GründerKannan Muthukkaruppan, Karthik Ranganathan, Mikhail Bautin
HauptsitzSunnyvale, California, USA
Key people
Kannan Muthukkaruppan
(Co-Founder & President,
Product Development)
Karthik Ranganathan
(Co-Founder & CTO)
Mikhail Bautin
(Co-Founder &
Software Architect)
Bill Cook
(CEO)
ServicesCommercial database management systems
Websitewww.yugabyte.com


YugabyteDB is a high-performance transactional distributed SQL database for cloud-native applications, developed by Yugabyte.[1]

History

Yugabyte was founded by ex-Facebook engineers Kannan Muthukkaruppan, Karthik Ranganathan, and Mikhail Bautin. At Facebook, they were part of the team that built and operated Cassandra and HBase.[2] The team scaled the data platform for massive real-time workloads such as Facebook Messenger and Facebook's Operational Data Store from millions to billions of users in just a few years.[3]

The founders came together in February 2016 to build YugabyteDB,[4] believing that the trends they experienced at Facebook – microservices, containerization, high availability, geographic distribution, APIs, and open-source – were relevant to all businesses, especially as they move from on-premise to cloud-native operations.[5]

YugabyteDB was initially available in two editions: community and enterprise. In July 2019, Yugabyte open sourced previously commercial features and launched YugabyteDB as 100% open-source under the Apache 2.0 license.

The rapid evolution of the product led to being named as a 2020 Gartner Cool Vendor in Data Management.[6]

Yugabyte launched Yugabyte Cloud,[7] a fully managed database-as-a-service offering of YugabyteDB, in September 2021.[8] Yugabyte Cloud combines the power of distributed SQL with the ease of use of a cloud database management system.

Yugabyte closed a $188 Million Series C funding round on October 28, 2021, bringing their valuation to over $1.3bn[9][10] The round was led by Sapphire Ventures, and included participation from Alkeon Capital, Meritech Capital Partners, and Wells Fargo Strategic Capital, and existing investors Lightspeed Venture Partners, 8VC, Dell Technologies Capital, Wipro Ventures.

Eigenschaften

YugabyteDB has the following key features:

  • Horizontally scaling from 3 nodes upward
  • Deploy a database instance across multiple failure zones (rack, availability zone, cloud region) in order to survive an outage at the failure zone level
  • Enterprise-grade security for Data at rest, Data in motion, Field-level encryption, Authentication, and Authorisation as well as appropriate audit logging
  • Code compatibility with PostgreSQL by reusing PostgreSQL's query layer to achieve a high degree of compatibility with existing PostgreSQL applications including triggers, functions, stored procedures, strong secondary indexes, and distributed ACID transactions.
  • Geo-placement of data - the ability to limit data to a given location or set of locations
  • Asynchronous replication between database instances
  • Cloud Agnostic - running on-premise, in Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) which can be used to avoid Concentration risk of single cloud provider strategies
  • Support for Hybrid (on-premise and in the cloud) or Multi-cloud (across multiple cloud vendors) deployments

Use Cases

Yugabyte, in common with other transactional distributed SQL databases, is best suited to supporting:

  • System of Record i.e. the main transactional systems of an organization, these would typically include applications such as shopping carts, IoT event stores, bank transactions, etc.
  • System of Reference or Master Data Management systems used to store items such as product catalogs and other reference data.

System of Analysis (such as a Data warehouse) use cases are NOT good use cases for any distributed SQL database[citation needed]. Analytical queries generally collect a large amount of data in a single query and doing this in a distributed SQL database is prone to significant latency due to the distributed nature of the data store.

As a result, early adoption of distributed SQL databases such as YugabyteDB has been in Retail, Telcos, FinTech and IoT vertical segments which are characterized by having high-volume, transactional data that needs to be highly available as they are mission-critical to the organization.

Architecture

YugabyteDB is a distributed SQL database that is strongly transactionally consistent across failure zones (i.e. ACID compliance] as demonstrated by Jepsen testing.[11] In CAP Theorem terms YugabyteDB is a Consistent/Partition Tolerant (CP) database.

YugabyteDB has two layers, a storage engine known as DocDB and the Yugabyte Query Layer.

Architecture Block Diagram for YugabyteDB
YugabyteDB Architecture

DocDB

The storage engine consists of a customized RocksDB combined with sharding and load balancing algorithms for the data. In addition, the Raft consensus algorithm controls the replication of data between the nodes. There is also a Distributed transaction manager and Multiversion concurrency control (MVCC) to support distributed transactions.

The engine also exploits a Hybrid Logical Clock[12] that combines coarsely-synchronized physical clocks with Lamport clocks to track causal relationships.

The DocDB layer is not directly accessible by users.

YugabyteDB Query Layer

Yugabyte has a pluggable query layer that abstracts the query layer from the storage layer below. There are currently two APIs that can access the database:

YCQL is a Cassandra-like API based around v3.10 and re-written in C++. YCQL is accessed via standard Cassandra drivers using the native protocol port of 9042. In addition to the 'vanilla' Cassandra components, YCQL is augmented with the following features:

  • Transactional consistency - unlike Cassandra, Yugabyte YCQL is transactional.
  • JSON data types supported natively
  • Tables can have secondary indexes

YSQL is a PostgreSQL code-compatible API based around v11.2. YSQL is accessed via standard PostgreSQL drivers using native protocols. It exploits the native PostgreSQL code for the query layer and replaces the storage engine with calls to the pluggable query layer. This re-use means that Yugabyte supports many features, including:

  • Triggers & Stored Procedures
  • PostgreSQL extensions that operate in the query layer
  • Native JSONB support

Currently, data written to either API is not accessible via the other API.

The security model for accessing the system is inherited from the API, so access controls for YSQL look like PostgreSQL, and YCQL looks like Cassandra access controls.

Additional Functionality

In addition to the core database functionality, there are some additional features of note

Cluster to Cluster Replication

YugabyteDB has the ability to replicate between database instances. The replication can be one-way or bi-directional and is asynchronous. One-way replication is used either to create a read-only copy for workload off-loading or in a read-write mode to create an active-passive standby. Bi-directional replication is generally used in read-write configurations and is used for active-active configurations, geo-distributed applications, etc.

Cluster to cluster replication is relatively uncommon in distributed SQL solutions however YugabyteDB includes this capability in the core database distribution.

Smart Driver

YugabyteDB can generally be accessed with either the native PostgreSQL driver or the native Cassandra driver due to its compatibility with those APIs.

However, Yugabyte also provides a distributed JDBC driver for YSQL that enhances YugabyteDB by eliminating the need for external load balancers. It features

  • Cluster-awareness, eliminating the need for an external load balancer. The driver package uses an initial contact point for the YugabyteDB cluster as a means of discovering all the nodes and, if required, refreshing the list of live endpoints with every new connection attempt.
  • Topology-awareness, which is essential for geographically distributed applications, where the driver uses nodes that are part of a set of geo-locations specified by topology keys.

Management Console

Yugabyte also has a management console that is available under a source available, a free-trial-only license from the Polyform Project.[13] This standalone package is provided to customers that have a support subscription with the company. The management console provides pre-built automation and monitoring for YugabyteDB features. The management console provides a user interface for human interaction and an API[14] that allows the automation of common tasks into CI/CD pipelines. The functionality can be broken down into three categories:

  • Day 1 Operations - for example, the provisioning of nodes for the cluster, installation of databases, initial key instantiation, etc.
  • Day 2 Operations - for example, database instance upgrades, backup and recovery including Point-in-time recovery, key rotation, etc.
  • Monitoring - for example, node and instance health, query performance, etc.

See also

References

  1. ^ "YugabyteDB System Properties". DB-Engines. Retrieved 30 December 2021.
  2. ^ "Karthik Ranganathan". Dataversity. Retrieved 30 December 2021.
  3. ^ "YugaByte Raises $8M in Series A Funding". FINSMES. Retrieved 30 December 2021.
  4. ^ "Yugabyte CTO outlines a PostgreSQL path to distributed cloud". VentureBeat. Retrieved 31 December 2021.
  5. ^ "Yugabyte expands its fully managed enterprise cloud service with $188M". VentureBeat. Retrieved 30 December 2021.
  6. ^ "Yugabyte Named a 2020 Gartner Cool Vendor in Data Management". BusinessWire. Retrieved 30 December 2021.
  7. ^ "Yugabyte Cloud: a Managed Distributed SQL Database". InfoQ. Retrieved 31 December 2021.
  8. ^ "Yugabyte Delivers Effortless Distributed SQL With Cloud Database-as-a-Service". BusinessWire. Retrieved 30 December 2021.
  9. ^ "Yugabyte Closes $188 Million Series C Funding Round Bringing Valuation to Over $1.3B". BusinessWire. Retrieved 30 December 2021..
  10. ^ "Yugabyte stores up $188M more for its open-source distributed SQL database model, now valued at $1.3B+". TechCrunch. Retrieved 31 December 2021.
  11. ^ "YugaByte DB 1.3.1". Jepsen.io. Retrieved 30 December 2021.
  12. ^ "Hybrid Clock". Martin Fowler. Retrieved 30 December 2021.
  13. ^ "Free Trial Licence". Polyform Project. Retrieved 31 December 2021.
  14. ^ "API Documentation". Yugabyte. Retrieved 31 December 2021.
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