Vendor lock-in
Vendor lock-in is a common problem for companies that use proprietary software, databases, or platforms. Issues arise when businesses find themselves unable to move to an alternative vendor without incurring substantial expense or business disruption.
By 2025, over 80% of organizations will use more than one cloud service provider (CSP) for their data and analytics use cases, making it critical for them to prioritize an independent and CSP-neutral integration technology to avoid vendor lock-ins. [Magic Quadrant for Data Integration Tools, 2021]
Growing organizations are especially vulnerable to vendor lock-in because the initial out-of-the-box solution that worked at first often no longer works as businesses expand.
Cloud provider lock-in
Cloud provider lock-in is a significant barrier to the adoption of cloud computing due to the lack of standardization. Consequently, most customers are unaware of proprietary standards that inhibit the interoperability and portability of applications when buying services from cloud providers. For example, as Amazon Elasticsearch Service is not compatible with Elasticsearch on other cloud providers, it is harder to port specific cloud vendor applications from one cloud provider to another.
Therefore, a company may find itself locked into one cloud provider due to its investment in the cloud provider applications and services.
Vendor lock-in can also become an issue in cloud computing because it is difficult to move data and applications once set up, especially in a proprietary cloud solution. It involves moving data to a different environment and may include reformatting the data.
The multi-cloud hybrid scenario generally appeals to end-users concerned about cloud provider lock-in and want to move their applications easily to a different cloud provider.
The average company today has on average 2.6 public clouds in actual use. 92% of companies today have chosen multi-cloud.
snapblocs is a semantically compatible architecture platform that runs the same in multiple clouds, promises easier migrations, as the primary concern will be migrating the data, not rewriting the applications. [Gartner report Published 27 May 2020 - ID G00717499]
Abstraction through blueprints
With snapblocs, avoid vendor lock-in and lock-up through a catalog of pre-built data platform blueprints using widely adopted community open source components. snapblocs embraces open-source, as well as licensed enterprise technology, deployed with a choice of cloud vendors.
snapblocs Architecture Blueprints provide proven architecture that delivers common data platform use cases making it simple to provision and manage data platform stacks. Avoid vendor lock-in situations by using snapblocs Architecture Blueprints. They are designed using standard and widely accepted best practices with proven design patterns based on standard real-world implementations.
Click here for more details on snapblocs data platform blueprints.
Choice in open source licensing
With open-source, companies can start small and scale quickly with community versions and then migrate to a commercially supported solution based on expanding business requirements. If the project doesn’t require support, companies can continue using community open-source versions indefinitely and upgrade later to enterprise licenses as needs grow. A mix of strategies is often needed.
Flexibility as opposed to lock-in
Avoid vendor lock-in with snapblocs data platform blueprints. They provide the flexibility to extend solutions. Add or replace components with other components to meet changing business requirements and system SLA goals.
Allows swapping components for rapid innovation.
Lower TCO using open source components.
Higher ROI using more extensive open community support (with optional enterprise support as needed).
Leverage the best-of-breed cloud services from each vendor.
Avoid lock-in to proprietary services of a single cloud vendor.
Save costs by optimizing resource utilization and operations across clouds.
Deploy workloads based on regulatory/compliance or performance needs.
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