Facebook
TwitterThis dataset was created by Danilo Torres
Released under Other (specified in description)
Facebook
Twitterhttps://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence
Dataset from Info-communications Media Development Authority. For more information, visit https://data.gov.sg/datasets/d_0357d70f583189708514ca1d35772cc0/view
Facebook
TwitterThis dataset was created by Jillani SofTech
Facebook
TwitterThis dataset was created by Shobhit Singh
Scraped in 2023
Facebook
TwitterThis dataset was created by Saswat Seth
Facebook
TwitterAmerilist is a leading national provider of targeted mailing, telemarketing, email lists, data processing, data enhancement, printing, and advertising services in the US and Canada. With proprietary access to over 60,000 direct marketing databases, Amerilist offers a comprehensive range of services, including database compilation, list management, list brokerage, data analytics, data hygiene, graphic design, web design and development, digital marketing, email marketing, printing, and mail houselettershop services.
The company's extensive list of services allows businesses to target specific audiences and demographics, providing effective marketing solutions for new customer acquisition, lead generation, and retention. Amerilist's team of experts is dedicated to helping businesses grow by providing high-quality data and creative services that deliver measurable results. With a commitment to customer satisfaction and a proven track record of success, Amerilist is a trusted partner for businesses looking to expand their reach and improve their marketing ROI.
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
A dataset about movies containing the following information for each movie: adult or not, movie_id, title, overview, original language, popularity, average votes and vote count.
Facebook
TwitterBlayzer is a leading provider of data enrichment solutions, helping businesses streamline their operations and make informed decisions. Their platform offers a wealth of valuable insights and information, including company data, people data, and market research.
As a trusted authority in the data space, Blayzer's databases are meticulously curated to provide accurate and reliable information. With a focus on delivering exceptional quality, Blayzer's data is a powerful tool for businesses looking to gain a competitive edge in their respective markets. By staying up-to-date with the latest data trends and insights, Blayzer continues to set the standard for data excellence, making it a go-to destination for companies seeking to drive growth and innovation.
Facebook
TwitterThe Spomenik Database is a comprehensive online resource that documents the abstract and modernist World War II monuments built in the Socialist Federal Republic of Yugoslavia from 1960 to 1990. The database is a labor of love created by writer, history hobbyist, and travel enthusiast Donald Niebyl. nnThe Spomenik Database is a treasure trove of information, featuring records of over 1,000 monuments scattered across Croatia, Slovenia, N. Macedonia, Serbia, Kosovo, Bosnia and Herzegovina, and Montenegro. The database includes photographs, descriptions, and historical context for each monument, providing visitors with a rich and immersive experience.
Facebook
Twitterhttps://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/
Database Software Market Size and Forecast
Global Database Software Market size was valued at USD 145.69 Billion in 2024 and is projected to reach USD 186.72 Billion by 2031, growing at a CAGR of 3.15% from 2024 to 2031.
Database Software Market Drivers
Data Explosion: The exponential growth of data generated by various sources like IoT devices, social media, and e-commerce platforms fuels the demand for efficient database solutions to store, manage, and analyze this data.
Cloud Computing Adoption: The increasing adoption of cloud computing enables organizations to leverage scalable and cost-effective database solutions without significant upfront investments.
Big Data Analytics: The need to extract valuable insights from large datasets drives the demand for advanced database technologies capable of handling complex analytics workloads.
Database Software Market Restraints
Complex Data Management: Managing diverse and complex data structures, including unstructured and semi-structured data, can be challenging for traditional database systems.
Data Migration and Integration: Migrating existing data to new database systems and integrating data from multiple sources can be time-consuming and complex.
Facebook
Twitterhttps://www.infinitivedataexpert.com/page/privacy-policyhttps://www.infinitivedataexpert.com/page/privacy-policy
At a CAGR of 25.3% between 2023 and 2030, the market value of vector databases is projected to increase from $1.25 billion in 2023 to $4.13 billion. Market size, growth, share
Facebook
TwitterThis dataset was created by Shanks3895
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset was created by Ferdiansyah Gustian
Released under CC0: Public Domain
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Laos Number of Entertainment Establishments data was reported at 249.000 Unit in 2017. This records a decrease from the previous number of 365.000 Unit for 2016. Laos Number of Entertainment Establishments data is updated yearly, averaging 173.000 Unit from Dec 2002 (Median) to 2017, with 16 observations. The data reached an all-time high of 410.000 Unit in 2013 and a record low of 64.000 Unit in 2002. Laos Number of Entertainment Establishments data remains active status in CEIC and is reported by Lao Statistics Bureau. The data is categorized under Global Database’s Laos – Table LA.Q007: Number of Entertainments.
Facebook
TwitterThis dataset was created by SiarheiAnikeyeu
Dataset has 608 films from 90s up to now
Facebook
TwitterThis data collect from TMDB and also clean and modify data user can use this data for find popular movies and also predict the new movies.
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset was created by Ian Waweru Macharia
Released under Apache 2.0
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset was created by maybprince
Released under CC0: Public Domain
Facebook
TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This dataset was created by Rohith
Released under MIT
Facebook
Twitterhttp://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/
This dataset was created by Baladev Bindhani
Released under Database: Open Database, Contents: Database Contents
Facebook
TwitterThis dataset was created by Danilo Torres
Released under Other (specified in description)