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Varada

Full company profile

uuid0005x26

Namestring
Varada
Websiteurl
varada.io
Company typeenum
Private
Founded yearint
2017
Short descriptiontext

Varada is an Israel-based, privately held data infrastructure company founded in 2017 that builds dynamic analysis and adaptive indexing technology to help data architects accelerate and optimize analytical workloads.

Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersTel Aviv, Israel
HQ citystring
Tel Aviv
HQ countrystring
Israel
HQ regionstring
Middle East
Markets served

Serves global market

Keyword5 values
data query acceleration, adaptive indexing, data lake analytics, workload optimization, analytics platform
Industry4 codes
1Data Warehouse/Lakehouse Performance Optimization & Cost Management
CodeHDAEABALPrimaryYes
2Data Platform (Unified Data & Analytics) Suites
CodeHDAEABADPrimaryNo
3Data & Analytics Platforms (Data Warehousing, Lakes, Streaming)
CodeHDABAAAFPrimaryNo
4Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM)
CodeBPAEAHACPrimaryNo
NAICS code2 codes
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services51821
  • Computer Systems Design Services541512
SIC code1 code
  • Services-Prepackaged Software7372
Product category
Data Analytics Infrastructure
Social media profiles2 records
Cost components4 values
Personnel, Technology or R&D, Marketing or Sales, Infrastructure
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Varada enables data architects to accelerate and optimize data analytics workloads through dynamic analysis and adaptive indexing technology. The company's platform is designed to speed up queries on data lakes and modern data warehouses while reducing infrastructure costs and eliminating manual tuning.

Differentiator
Functional benefit
Problem solved
No data
Peers10 records
1Upsolver
TypeDirect peer
Description

Data lakehouse platform focused on ingestion, transformation, and query performance over object storage; directly overlaps with Varada's lakehouse workload optimization positioning.

2Snowflake
TypeBroad incumbent
Description

Cloud data warehouse with built-in search optimization, materialized views, and Auto-Suspend features that compete directly with third-party workload accelerators.

3SingleStore
TypeEmerging player
Description

Hybrid cloud database with in-memory and workload-tuning features targeting analytical acceleration; comparable buyer profile to Varada's data architect audience.

4BigID
TypeRegional player
Description

Israeli-founded enterprise data platform; relevant as a Tel Aviv-rooted data infrastructure peer, though focused on data intelligence rather than lakehouse acceleration.

5Trino (project)
TypeOthers
Description

Open-source distributed SQL query engine; Varada historically commercialized Trino-based optimizations, making it a directly relevant open-source comparator.

6Dremio
TypeDirect peer
Description

Direct competitor in the data lakehouse query acceleration space, offering a SQL engine and reflections-based acceleration for lakehouse workloads — directly comparable to Varada's adaptive indexing approach.

7Databricks
TypeBroad incumbent
Description

Broad lakehouse platform whose Photon engine, Delta Lake optimizations, and Predictive I/O increasingly absorb the workload acceleration use case Varada targets.

8Starburst
TypeDirect peer
Description

Provides a federated query engine and performance-optimization features across data lakes and warehouses; competes with Varada for the same lakehouse-acceleration buyer.

9Ahana (Presto)
TypeEmerging player
Description

Presto-based SQL engine for data lake analytics with workload acceleration features; competes in the same open-lakehouse performance layer as Varada.

10Firebolt
TypeEmerging player
Description

Cloud data warehouse built around sub-second analytics on large datasets; overlaps with Varada on accelerating analytical workloads for data teams.

Market position
Customer concentration

Classification, Details

Ideal customer profile1 record

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI maturity
App detail

Has app

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles2 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds2 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors5 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Varada

Data Analytics Infrastructurevarada.io

Varada is an Israel-based, privately held data infrastructure company founded in 2017 that builds dynamic analysis and adaptive indexing technology to help data architects accelerate and optimize analytical workloads.

Varada firmographics

Firmographics
Name
Varada
Website
https://varada.io
Company type
Private
Founded year
2017
Headcount range
11–50 employees
Short description
Varada is an Israel-based, privately held data infrastructure company founded in 2017 that builds dynamic analysis and adaptive indexing technology to help data architects accelerate and optimize analytical workloads.
Ownership category
akta.pro rank

Varada industry classification

Industry
Product category
Data Analytics Infrastructure
NAICS
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computer Systems Design Services (541512)
SIC
Services-Prepackaged Software (7372)
akta.pro primary industry
Data Warehouse/Lakehouse Performance Optimization & Cost Management (HDAEABAL)
akta.pro secondary industries
Data Platform (Unified Data & Analytics) Suites (HDAEABAD), Data & Analytics Platforms (Data Warehousing, Lakes, Streaming) (HDABAAAF), Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC)

Keywords

  • Data query acceleration
  • Adaptive indexing
  • Data lake analytics
  • Workload optimization
  • Analytics platform

Where Varada is headquartered

Location

Headquarters

HQ city
Tel Aviv
HQ country
Israel
HQ region
Middle East

Markets served

Varada business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Marketing or Sales, Infrastructure

Varada product offering

Product offering

Core offering

Varada enables data architects to accelerate and optimize data analytics workloads through dynamic analysis and adaptive indexing technology. The company's platform is designed to speed up queries on data lakes and modern data warehouses while reducing infrastructure costs and eliminating manual tuning.

Differentiator

Problem solved

Functional benefit

Companies that use Varada

Customer profile

Ideal customer profiles1 record

Varada technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Varada competitors and assessment

Company assessment

Direct peers

  • Upsolver: Data lakehouse platform focused on ingestion, transformation, and query performance over object storage; directly overlaps with Varada's lakehouse workload optimization positioning.
  • Dremio: Direct competitor in the data lakehouse query acceleration space, offering a SQL engine and reflections-based acceleration for lakehouse workloads — directly comparable to Varada's adaptive indexing approach.
  • Starburst: Provides a federated query engine and performance-optimization features across data lakes and warehouses; competes with Varada for the same lakehouse-acceleration buyer.

Broad incumbents

  • Snowflake: Cloud data warehouse with built-in search optimization, materialized views, and Auto-Suspend features that compete directly with third-party workload accelerators.
  • Databricks: Broad lakehouse platform whose Photon engine, Delta Lake optimizations, and Predictive I/O increasingly absorb the workload acceleration use case Varada targets.

Emerging players

  • SingleStore: Hybrid cloud database with in-memory and workload-tuning features targeting analytical acceleration; comparable buyer profile to Varada's data architect audience.
  • Ahana (Presto): Presto-based SQL engine for data lake analytics with workload acceleration features; competes in the same open-lakehouse performance layer as Varada.
  • Firebolt: Cloud data warehouse built around sub-second analytics on large datasets; overlaps with Varada on accelerating analytical workloads for data teams.

Regional players

  • BigID: Israeli-founded enterprise data platform; relevant as a Tel Aviv-rooted data infrastructure peer, though focused on data intelligence rather than lakehouse acceleration.

Others

  • Trino (project): Open-source distributed SQL query engine; Varada historically commercialized Trino-based optimizations, making it a directly relevant open-source comparator.

Market position

Customer concentration

Varada social profiles

Digital presence

Varada financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Varada leadership team

Management profile

Number of profiles

Profiles2 records

Varada funding detail

Funding detail

Funding overview

Funding rounds2 records

Investors5 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Varada M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Varada

What does Varada do?

Varada enables data architects to accelerate and optimize data analytics workloads through dynamic analysis and adaptive indexing technology. The company's platform is designed to speed up queries on data lakes and modern data warehouses while reducing infrastructure costs and eliminating manual tuning.

When was Varada founded?

Varada was founded in 2017. It employs 11 to 50 people.

Where is Varada based?

Varada is headquartered in Tel Aviv, Israel, in the Middle East region.

Who are Varada's main competitors?

Direct peers on record are Upsolver, Dremio and Starburst. Broad incumbents are Snowflake and Databricks. Emerging players are SingleStore, Ahana (Presto) and Firebolt. BigID is listed as a regional player. Trino (project) is listed as an others.

Does Varada have an API?

No public API is recorded for Varada.

What industry is Varada in?

Varada's product category is Data Analytics Infrastructure. Its primary akta.pro industry code is HDAEABAL, Data Warehouse/Lakehouse Performance Optimization & Cost Management, with a secondary code of HDAEABAD, Data Platform (Unified Data & Analytics) Suites. Its NAICS code is 51821 and its SIC code is 7372.

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Live signals
FinSMEsStarburst Buys VaradaStarburst acquired Varada, a data lake analytics accelerator, in a deal amount not disclosed. Varada's proprietary caching and indexing solution can reduce query response times up to 7x and cloud compute costs on AWS by up to 40%. The integration allows Starburst Enterprise and Varada to scale elastically together.CTechStarburst acquiring Israeli startup Varada for approximately $60 millionStarburst is acquiring Israeli startup Varada, which develops data lake analytics, in a deal estimated at about $60 million in stock and cash. The integration is expected to be available by fall 2022, and Varada's technology could reduce cloud compute costs by over 40% and query response times by up to 7x.MarTech SeriesStarburst Acquires Varada To Deliver Standard Of Data Lake AnalyticsStarburst has acquired Varada, a data lake analytics accelerator, to enhance data analytics capabilities and reduce cloud computing costs by over 40%. The integration of Varada’s indexing technology is expected to improve query performance on AWS by up to 7 times. The new technology rollout is targeted for select customers within the next month, with general availability set for fall 2022.PR NewswireStarburst Acquires Varada To Deliver The New Standard Of Data Lake AnalyticsStarburst, an analytics company headquartered in Boston, has acquired Varada, a data lake analytics accelerator based in Tel Aviv, Israel, to enhance its query performance and cost-efficiency capabilities. The combined solution reportedly delivers up to 7x faster query response times and reduces cloud compute costs by up to 40%, with Varada's engineering and product leadership joining the Starburst team. Integration is expected to roll out to select customers within 30 days, with general availability targeted for fall 2022.Pulse 2.0Data Virtualization Company Varada Raises $12 MillionData virtualization company Varada has closed a $12 million Series A funding round led by MizMaa Ventures, with participation from existing investors Lightspeed, StageOne Ventures, and F2 Venture Capital. The investment will support the general availability of Varada’s platform, which aims to accelerate big data workloads through a patented indexing technology that eliminates the need for manual data operations. This development positions Varada to address scaling limitations in current data virtualization solutions as organizations shift toward data lake-based architectures.FinSMEsVarada Raises $12M in Series A FundingVarada, a Tel Aviv-based big data query acceleration company, closed a $12M Series A round led by MizMaa Ventures with participation from Gefen Capital and existing investors. The funds will expand operations and business reach, and the company is preparing general availability of its data virtualization platform.Pulse 2.0Big Data Inline Indexing Company Varada Raises $7.5 MillionVarada, a Tel Aviv-based big data inline indexing company, raised $7.5 million in seed funding led by Lightspeed Venture Partners, with participation from StageOne Ventures and F2 Capital. The funding will support business expansion and development, targeting enterprises facing high data costs and outdated hardware.FinSMEsVarada Raises $7.5M in Seed FundingVarada, a Tel Aviv-based big data indexing company, raised $7.5M in seed funding led by Lightspeed Venture Partners, with participation from StageOne Ventures and F2 Capital. The company will use the funds to expand business operations and development efforts.SiliconANGLEVarada lands $7.5M to make data lakes more easily accessible - SiliconANGLEVarada, an Israel-based startup, raised $7.5 million in seed funding to make data lakes more accessible. The company's inline indexing tool enables faster analytics on cloud data without pre-modeling, claiming 100 times faster performance than brute-force methods. The round was led by Lightspeed Venture Partners.