Duyuru • Oct 02

MongoDB, Inc. Announces General Availability of MongoDB 8.0

MongoDB, Inc. announced the general availability of MongoDB 8.0, the best-performing version of MongoDB, the document database. MongoDB 8.0 provides significant performance improvements, reduced scaling costs, and additional scalability, resilience, and data security capabilities. MongoDB 8.0 is now generally available on AWS, Google Cloud, and Microsoft Azure through MongoDB Atlas, on MongoDB Enterprise Advanced for on-premises and hybrid deployments, and as a free download with MongoDB Community Edition. Built for the needs of a wide variety of enterprise applications, MongoDB 8.0—the best version of MongoDB ever—empowers development teams to build innovative, customer-focused applications. With an emphasis on enterprise-grade security, durability, availability, and performance—including more than 45 architectural improvements and new features—MongoDB 8.0's capabilities provide: Optimized performance for a wide variety of applications. As the data applications generate and use grows, inefficiencies can lead to increased infrastructure costs and decreased performance. Because many customers primarily interact with businesses through their applications, poor or inconsistent application performance can lead to customer unhappiness, lost opportunities, and lost revenue. It's therefore imperative for organizations to ensure that their applications perform consistently well. MongoDB 8.0 improves performance by allowing applications to quickly query and transform data. Architectural optimizations in MongoDB 8.0 have significantly reduced memory usage and query times, and MongoDB 8.0 has more efficient batch processing capabilities than previous versions. Specifically, MongoDB 8.0 features: 32% better throughput; 56% faster bulk writes; and 20% faster concurrent writes during data replication. In addition, MongoDB 8.0 can handle higher volumes of time series data and can perform complex aggregations more than 200% faster—with lower resource usage and costs. Innovative encryption that unlocks new use cases. Data protection and security are paramount, and safeguarding sensitive information with robust encryption is more critical than ever. Organizations must protect their data using encryption throughout its lifecycle: in transit over networks, at rest where it is stored, and while it's in use for querying and processing. However, it can be challenging to encrypt data while it is queried and processed, leaving it vulnerable to inadvertent exposure or exfiltration by threat actors. MongoDB Queryable Encryption is a groundbreaking, industry-first innovation developed by the MongoDB Cryptography Research Group that allows customers to encrypt sensitive application data, store it securely as fully randomized encrypted data in the MongoDB database, and to run expressive queries on the encrypted data for processing—with no cryptography expertise required. Now with range queries in MongoDB 8.0, Queryable Encryption helps reduce the risk of inadvertent data exposure and exfiltration by malicious actors with applications that store and process highly sensitive data by keeping it encrypted throughout its lifecycle, with no cryptography expertise required. Faster horizontal scaling for high availability. As organizations grow, their application requirements evolve. For example, scaling to support millions of users can be challenging for organizations that originally designed their applications for thousands of users. Implementing architectural changes in production applications can be challenging—they can be costly, time-consuming, and can require specialized skills. We've continued to improve MongoDB's robust scaling features in each version of the database since introducing horizontal scaling in 2010. With MongoDB 8.0, horizontal scaling is faster and easier than ever, and at a lower cost to get started. Horizontal scaling allows applications to scale beyond the limits of traditional database resources by splitting data across multiple servers known as shards—without having to pre-provision increasing amounts of compute resources for a single server. Sharding improvements in MongoDB 8.0 distribute data across shards up to 50 times faster and at up to 50% lower starting cost, without the need for additional configuration or setup. Resilience for unexpected application demand. End-users expect consistent application experiences, even during periods of high demand and usage spikes. Organizations without a highly durable operational database risk poor customer experiences, with lagging application behavior (or even downtime) during times of high demand. MongoDB 8.0 provides greater control for teams optimizing database performance for unpredictable spikes in usage and sustained periods of high demand. MongoDB 8.0 includes the ability to set a default maximum time limit for running queries, to reject recurring types of problematic queries, and to set query settings to persist through events like database restarts to help deliver consistent performance for applications experiencing high demand. Reduced costs and increased scale for vector applications. The introduction of vector search opened up possibilities for unlocking insights within unstructured data. However, large-scale vector applications using full-fidelity vectors can have high processing costs and slow query times, hindering scalability and performance. MongoDB addresses this challenge by adding the ability to leverage quantized vectors and automatically quantize full-fidelity vectors in Atlas Vector Search. Quantized vectors—compressed representations of full-fidelity vectors—require significantly less memory (73% to 96% less) and are faster to retrieve while preserving accuracy. With vector quantization, customers can build a wide range of search and AI applications at higher scale and lower cost. And when combined with Search Nodes, MongoDB's infrastructure for independent scalability and resource optimization, quantized vectors can further reduce costs and improve performance. Generally available now, scalar quantized vector ingestion enables customers to seamlessly import and work with quantized vectors from their embedding models of choice—directly in MongoDB Atlas. Together, these new capabilities for MongoDB 8.0 provide the fastest, most durable, secure, and reliable version of MongoDB for building a wide variety of applications across the enterprise. MongoDB 8.0 is available from October 2, 2024 via MongoDB Atlas—MongoDB's multi-cloud developer data platform—as part of MongoDB Enterprise Advanced for on-premises and hybrid deployments, and as a free download from mongodb.com/try with MongoDB Community Edition.

CEO maaş yüzdesi	n/a
CEO görev süresi	less than a year
CEO sahipliği	0.1%
Yönetim ortalama görev süresi	1.8yrs
Yönetim Kurulu ortalama görev süresi	8.1yrs

İsim	Pozisyon	Görev süresi	Tazminat	Sahiplik
Dwight Merriman	Co-Founder & Director	19.3yrs	US$224.56k	1.86% MX$ 6.8b
Chirantan Desai	President	less than a year	Veri yok	0.095% MX$ 351.3m
Michael Berry	CFO & Principal Financial Officer	1yr	Veri yok	0.014% MX$ 52.9m
Kong Phan	Chief Accounting Officer & Principal Accounting Officer	less than a year	Veri yok	Veri yok
Jim Scharf	Chief Technology Officer	2.6yrs	Veri yok	Veri yok
Deepa Gopinath	Chief Information Officer	less than a year	Veri yok	Veri yok
Jess Lubert	Vice President of Investor Relations	no data	Veri yok	Veri yok
Andrew Stephens	General Counsel & Corporate Secretary	no data	Veri yok	Veri yok
May Petry	Chief Marketing Officer	1yr	Veri yok	Veri yok
Harsha Jalihal	Chief People Officer	5.8yrs	Veri yok	Veri yok
Ronnen Miller	Executive Vice President of Global Technical Services	8.2yrs	Veri yok	Veri yok
Cailin Nelson	Executive Vice President of Cloud Engineering	8.7yrs	Veri yok	Veri yok

İsim	Pozisyon	Görev süresi	Tazminat	Sahiplik
Dwight Merriman	Co-Founder & Director	5.8yrs	US$224.56k	1.86% MX$ 6.8b
Chirantan Desai	President	less than a year	Veri yok	0.095% MX$ 351.3m
Charles Hazard	Independent Director	16.6yrs	US$244.56k	0.054% MX$ 200.4m
Dev Ittycheria	Director	11.7yrs	US$15.84m	0.21% MX$ 768.9m
Francisco D'Souza	Independent Director	6.5yrs	US$240.80k	0.0081% MX$ 29.9m
Hope Cochran	Independent Director	9.4yrs	US$246.80k	0.033% MX$ 123.2m
Roelof Botha	Independent Director	12.4yrs	US$231.80k	0.24% MX$ 891.8m
Ann Lewnes	Independent Director	2.4yrs	US$63.46k	0.00079% MX$ 2.9m
Archana Agrawal	Independent Director	6.8yrs	US$229.30k	0.0043% MX$ 15.7m
Peter Killalea	Independent Chairman of the Board	10.4yrs	US$260.20k	0.10% MX$ 372.0m

Veri	Son Güncelleme (UTC saati)
Şirket Analizi	2026/05/07 14:53
Gün Sonu Hisse Fiyatı	2026/05/07 00:00
Kazançlar	2026/01/31
Yıllık Kazançlar	2026/01/31

Paket	Veri	Zaman Çerçevesi	Örnek ABD Kaynağı ^*
Şirket Finansalları	10 yıl	Gelir tablosu Nakit akış tablosu Bilanço	SEC Form 10-K SEC Form 10-Q
Analist Konsensüs Tahminleri	+3 yıl	Finansal tahminler Analist fiyat hedefleri	Analist Araştırma Raporları Blue Matrix
Piyasa Fiyatları	30 yıl	Hisse senedi fiyatları Temettüler, Bölünmeler ve Eylemler	ICE Piyasa Verileri SEC Form S-1
Sahiplik	10 yıl	En büyük hissedarlar İçeriden öğrenenlerin ticareti	SEC Form 4 SEC Form 13D
Yönetim	10 yıl	Liderlik ekibi Yönetim Kurulu	SEC Form 10-K SEC Form DEF 14A
Önemli Gelişmeler	10 yıl	Şirket duyuruları	SEC Form 8-K

Analist	Kurum
Adam Shepherd	Arete Research Services LLP
Joseph Bonner	Argus Research Company
William Power	Baird

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